Walking MeshNCT07902102
Smart Sock for Monitoring Walking and Supporting Physical Activity in Older Adults
A study testing Low-Cost Smart Sock and Older-Adult Mobile Application and Standard Individual Walking Plan in people with Walking Mesh, run by University of Malaya.
Trial summary
The goal of this randomized feasibility clinical trial is to learn whether a low-cost smart sock and mobile application can be used safely, reliably, and comfortably to support gradual walking activity in adults aged 60 years and older. The smart sock is a research prototype worn with the participant's usual footwear. Read more about this study
- Who is it for?
- Ages 60 days and olderHealthy volunteers can take part
- Conditions the study is for
- Walking Mesh
- What is being tested?
- Low-Cost Smart Sock and Older-Adult Mobile Application and Standard Individual Walking Plan
- Type of treatment
- Medical device
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 5 participants
- Where
- No sites listed yet
- Study dates
- 1 Jan 2027to 1 Jul 2027
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 60 days and older
- All sexes
- Healthy volunteers accepted
- Child, Adult, Older adult
Who may be able to join
- Aged 60 years or older.
- Living in the community (not residing in an institutional care facility).
- Able to walk independently, with or without a customary walking aid, when considered safe by the study team.
- Insufficiently active or interested in improving regular walking activity.
- Has a compatible smartphone or access to a study-supported smartphone.
- Able to understand study instructions and use the application independently or with assistance from a participant-selected helper.
- Able and willing to provide written informed consent.
- Willing to wear the smart sock during planned sessions and complete study assessments and follow-up procedures.
Who cannot join
- Chest pain during physical activity or at rest that has not been medically assessed.
- Unexplained dizziness, fainting, or loss of consciousness.
- Acute lower-limb injury, severe foot pain, or another condition that prevents safe walking.
- Unstable medical condition or a condition for which gradual unsupervised walking progression is considered inappropriate.
- A fall in the recent period that required medical attention, unless cleared by an appropriate health professional.
- Severe cognitive, visual, hearing, or communication difficulty that prevents informed consent, understanding of safety instructions, or safe participation.
- Any other condition identified during pre-exercise screening that requires medical review before increasing physical activity.
Trial locations and contacts
No sites are listed yet. Contact the study team or a site near you to ask about taking part.
About this study
Official title: Protocol for a Low-Cost Smart Sock for Monitoring Walking Function and Supporting Progressive Physical Activity in Older Adults: Hardware Construction and a Family-Supported Randomized Feasibility Study
The goal of this randomized feasibility clinical trial is to learn whether a low-cost smart sock and mobile application can be used safely, reliably, and comfortably to support gradual walking activity in adults aged 60 years and older. The smart sock is a research prototype worn with the participant's usual footwear. It records simple walking information, such as step timing and walking rhythm, and sends a summary to a mobile application. The application provides an individual walking plan, asks about perceived effort and symptoms, and shows simple messages about whether the participant should continue, repeat the current level, or pause and seek review.
The study will include community-dwelling adults aged 60 years or older who can walk independently, with or without a usual walking aid when this is considered safe. This study does not diagnose medical conditions, predict falls, provide emergency monitoring, or replace medical care.
Read more
The main questions this study aims to answer are:
- Can older adults use the smart sock and application comfortably and complete the planned walking sessions?
- Does the smart sock record step events and walking cadence accurately enough for this type of monitoring?
- Are the application instructions, safety messages, and optional family-support feature understandable and acceptable to older adults?
- Can the study procedures be delivered safely, including device fitting, battery charging, walking progression, and reporting of symptoms or falls?
- What changes are seen over 12 weeks in walking activity and supervised functional assessments?
Researchers will compare a smart-sock-supported adaptive walking group with a comparison group receiving a standard individual walking plan. Participants will be assigned to one of the two groups by chance. The smart-sock group will use the device and app, which may adjust the walking plan conservatively when repeated sessions are completed at an acceptable effort and no safety concerns are reported. Participants in this group may choose a trusted family member or helper to receive limited notifications, such as "session completed" or "please check in." Family members will not see sensor data, symptoms, health history, test results, or decisions about walking progression. The comparison group will follow a standard nonadaptive walking plan independently and will not receive the smart sock, individualized app feedback, or study-provided family support.
Participants will:
- Complete screening, provide informed consent, and take part in a supervised baseline visit.
- Complete walking-related assessments at baseline, Week 6, and Week 12, including a 6-minute walk test, Timed Up and Go test, and 30-second chair-stand test.
- Follow an individual walking plan for 12 weeks, usually with three to five sessions per week.
- In the smart-sock group, wear the smart sock during planned sessions and use the mobile application to record session completion, perceived effort, and any symptoms.
- Report falls, near-falls, pain, dizziness, unusual shortness of breath, device discomfort, or technical problems.
Participants can stop a walking session at any time. The walking plan will not progress if there are warning symptoms, a fall, high perceived effort, concerning changes in walking information, or a decline at supervised reassessment. The study team may pause, simplify, or review the plan when needed.
Read the detailed description
This study evaluates a low-cost, foot-worn sensing prototype and mobile application intended to support gradual walking activity in older adults. Many commercially available activity tools provide step counts or fixed goals but do not combine simple foot-level movement information, perceived effort, symptom reporting, and conservative progression rules. The proposed system is designed to explore whether a simpler and more accessible approach can be implemented reliably in community-dwelling older adults.
The smart sock is a removable research prototype used with ordinary footwear. Its sensing module combines an FSR402 force-sensitive resistor placed beneath the forefoot with the integrated inertial measurement unit in a Seeed Studio XIAO nRF52840 Sense board. The FSR402 is used to identify changes in foot contact, while the inertial sensor records patterns of acceleration and angular movement. These signals are used to derive step events, cadence, inter-step timing, and simple indicators of walking rhythm. The system is intended for activity monitoring and coaching only. It is not designed to diagnose disease, measure laboratory-grade plantar pressure, estimate oxygen consumption, predict falls, provide emergency alerts, or replace clinical assessment.
The prototype is built from readily available components to support reproducibility and low cost. It includes a protected 3.7-V lithium-polymer battery, a 3.3-kΩ 1/4-W metal-film resistor, flexible insulated wire, a small green perforated FR-4 prototype printed circuit board, and a removable protective enclosure. The FSR402 and resistor form a 3.3-V voltage-divider circuit connected to the analog input of the XIAO board. The board uses Bluetooth Low Energy to send session summaries to the mobile application. The electronics are enclosed and positioned above the foot or near the shoe laces; the sensor sits beneath the removable insole at the forefoot. The battery is not charged while the device is worn or inside the shoe.
The mobile application is designed specifically for older adults. Its interface uses large high-contrast text, clear icons, plain-language prompts, minimal navigation, optional audio prompts, and a direct method to pause a session or report a symptom. Rather than showing complex sensor graphs, the application provides a small number of understandable messages about the current walking plan, session completion, perceived effort, and whether the current level should be maintained, reviewed for cautious progression, or paused.
The progression approach is intentionally conservative. The application does not advance activity after a single successful session. It considers repeated session completion, perceived exertion within the intended range, absence of a reported fall or warning symptom, and the absence of concerning changes in the derived walking indicators. When conditions are favorable, only one part of the walking plan is changed at a time, such as a small increase in walking duration or a reduction in a planned recovery period. A report of pain, dizziness, unusual shortness of breath, a fall, high perceived effort, device discomfort, or a concerning walking trend leads to pausing, repeating, simplifying, or reviewing the plan rather than automatic progression.
The application includes an optional participant-controlled family-support function. If a participant chooses this option, a trusted family member or helper may receive limited practical notifications, such as that a session was completed, paused, or that a check-in may be helpful. The support person cannot see raw sensor information, perceived-effort ratings, symptoms, health history, functional-assessment results, or the application's progression rule. They cannot change the participant's settings, override an alert, or make a progression decision. This feature is intended to support encouragement and practical assistance while preserving participant autonomy and privacy.
The study will document whether the hardware, software, instructions, and monitoring workflow can be delivered as planned and whether the system produces usable information for a later, appropriately powered effectiveness study. Technical assessment will focus on agreement of device-derived step events and cadence with reference observations. Implementation assessment will consider wearable fit, battery and charging performance, data transfer, technical faults, ease of setup, device comfort, accessibility of the application, and acceptability of optional family support. Information collected by the application will be limited to data necessary for monitoring and evaluation, including time-stamped step events or derived features, session information, perceived effort, symptom reports, app status, technical logs, and selected family-support preferences. Data will be handled through institutionally approved, secure procedures.
- Conditions
- Walking Mesh
- Being tested
- Low-Cost Smart Sock and Older-Adult Mobile Application, Standard Individual Walking Plan
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Low-Cost Smart Sock and Older-Adult Mobile ApplicationDevice
A low-cost foot-worn research prototype and mobile application for monitoring walking-related information and supporting gradual physical activity in adults aged 60 years and older. The device includes an FSR402 force-sensitive resistor, Seeed Studio XIAO nRF52840 Sense board with integrated motion sensor, protected 3.7-V lithium-polymer battery, and Bluetooth Low Energy connectivity. The application provides an individual walking plan, session completion prompts, perceived-exertion and symptom reporting, simple walking-trend feedback, conservative progression rules, and optional privacy-controlled family-support notifications. The system is not intended to diagnose disease, predict falls, provide emergency monitoring, or replace clinical assessment.
Standard Individual Walking PlanOther
A standard, nonadaptive individual walking plan with safety information and scheduled study contact. Participants complete the plan independently and do not receive the smart sock, individualized application feedback, automated progression, or study-provided family support.
| Study group | Role | What they receive |
|---|---|---|
| Adaptive Smart Sock and Mobile Application | Experimental | Participants will use a low-cost smart sock and an older-adult mobile application for 12 weeks. The smart sock records step timing, cadence, and walking-rhythm indicators and sends session summaries to the app through Bluetooth Low Energy. The app provides an individual walking plan, session-completion prompts, rating of perceived exertion and symptom reporting, simple walking-trend feedback, conservative progression rules, and optional privacy-controlled family-support notifications. The system is not intended to diagnose disease, predict falls, provide emergency monitoring, or replace clinical assessment Receives: Device: Low-Cost Smart Sock and Older-Adult Mobile Application |
| Standard Individual Walking Plan | Active comparator | Participants will follow a standard, nonadaptive individual walking plan for 12 weeks. The plan includes the same broad recommended walking frequency, safety information, and scheduled study contact. Participants will complete the program independently and will not receive the smart sock, individualized mobile-app feedback, automated progression, or study-provided family support Receives: Other: Standard Individual Walking Plan |
What is being measured
The primary outcome is the main question the study is designed to answer.
Rating of Perceived Exertion During Walking Sessions
Participants will rate their perceived physical effort after each planned walking session using a 10-point Rating of Perceived Exertion scale. Scores range from 1 to 10, where 1 indicates very light effort and 10 indicates maximal perceived effort. Higher scores indicate greater perceived exertion and may indicate lower exercise tolerance or a need to pause, repeat, or simplify the current walking plan.
Measured: Week 1 through Week 12
Smart-Sock and Mobile-Application Data Completeness
Percentage of expected device and application data records available for analysis. Scores range from 0% to 100%; higher percentages indicate better data completeness.
Measured: Baseline through Week 12
Safety Events
Number of reported falls, near-falls, warning symptoms, device discomfort events, battery/charging concerns, and technical faults. Lower numbers indicate better safety and technical acceptability.
Measured: Baseline through Week 12
Secondary outcomes (3)
Six-Minute Walk Test Distance
Distance walked during the Six-Minute Walk Test, measured in meters. Higher distance indicates better walking endurance.
Measured: Baseline, Week 6, and Week 12
Timed Up and Go Test Time
Time required to stand from a chair, walk 3 meters, turn, walk back, and sit down, measured in seconds. Lower time indicates better functional mobility.
Measured: Baseline, Week 6, and Week 12
30-Second Chair Stand Test Repetitions
Percentage of planned walking sessions completed during the intervention. Scores range from 0% to 100%; higher percentages indicate better adherence.
Measured: Baseline, Week 6, and Week 12
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted28 Oct 2026
- Study start1 Jan 2027 (estimated)
- Primary completion1 May 2027 (estimated)
- Study completion1 Jul 2027 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (1)Papers the sponsor has linked to this study.
- Other trials for Walking MeshStudies of the same condition, open and under way.
- More trials run by University of MalayaThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Prevention
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Enrolment
- 5 participants (estimated)
Sponsor and investigators
- Lead sponsor
- University of Malaya
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07902102
- Sponsor's protocol ID
- UM.TNC(P&I)/UMREC/3/609
- Status last verified
- Oct 2026
- First submitted
- 14 Oct 2026
- Last updated
- 2 Nov 2026
- Results posted
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Prasanth H, Caban M, Keller U, Courtine G, Ijspeert A, Vallery H, von Zitzewitz J. Wearable Sensor-Based Real-Time Gait Detection: A Systematic Review. Sensors (Basel). 2021 Apr 13;21(8):2727. doi: 10.3390/s21082727.
PubMed 33924403
Study at a glance
From the registry record, last updated by the sponsor on 2 Nov 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Protocol for a Low-Cost Smart Sock for Monitoring Walking Function and Supporting Progressive Physical Activity in Older Adults: Hardware Construction and a Family-Supported Randomized Feasibility Study
- ClinicalTrials.gov ID
- NCT07902102
- Acronym / sponsor ID
- UM.TNC(P&I)/UMREC/3/609
- Conditions
- Walking Mesh
- Study type
- Interventional
- Recruitment status
- Not yet recruiting
- Enrolment
- 5 participants (estimated)
- Lead sponsor
- University of MalayaUniversity, hospital or other
- Study start
- 1 Jan 2027 (estimated)
- Primary completion
- 1 May 2027 (estimated)
- Study completion
- 1 Jul 2027 (estimated)
- First posted
- 28 Oct 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The goal of this randomized feasibility clinical trial is to learn whether a low-cost smart sock and mobile application can be used safely, reliably, and comfortably to support gradual walking activity in adults aged 60 years and older. The smart sock is a research prototype worn with the participant's usual footwear. It records simple walking information, such as step timing and walking rhythm, and sends a summary to a mobile application. The application provides an individual walking plan, asks about perceived effort and symptoms, and shows simple messages about whether the participant should continue, repeat the current level, or pause and seek review.
The study will include community-dwelling adults aged 60 years or older who can walk independently, with or without a usual walking aid when this is considered safe. This study does not diagnose medical conditions, predict falls, provide emergency monitoring, or replace medical care.
The main questions this study aims to answer are:
- Can older adults use the smart sock and application comfortably and complete the planned walking sessions?
- Does the smart sock record step events and walking cadence accurately enough for this type of monitoring?
- Are the application instructions, safety messages, and optional family-support feature understandable and acceptable to older adults?
- Can the study procedures be delivered safely, including device fitting, battery charging, walking progression, and reporting of symptoms or falls?
- What changes are seen over 12 weeks in walking activity and supervised functional assessments?
Researchers will compare a smart-sock-supported adaptive walking group with a comparison group receiving a standard individual walking plan. Participants will be assigned to one of the two groups by chance. The smart-sock group will use the device and app, which may adjust the walking plan conservatively when repeated sessions are completed at an acceptable effort and no safety concerns are reported. Participants in this group may choose a trusted family member or helper to receive limited notifications, such as "session completed" or "please check in." Family members will not see sensor data, symptoms, health history, test results, or decisions about walking progression. The comparison group will follow a standard nonadaptive walking plan independently and will not receive the smart sock, individualized app feedback, or study-provided family support.
Participants will:
- Complete screening, provide informed consent, and take part in a supervised baseline visit.
- Complete walking-related assessments at baseline, Week 6, and Week 12, including a 6-minute walk test, Timed Up and Go test, and 30-second chair-stand test.
- Follow an individual walking plan for 12 weeks, usually with three to five sessions per week.
- In the smart-sock group, wear the smart sock during planned sessions and use the mobile application to record session completion, perceived effort, and any symptoms.
- Report falls, near-falls, pain, dizziness, unusual shortness of breath, device discomfort, or technical problems.
Participants can stop a walking session at any time. The walking plan will not progress if there are warning symptoms, a fall, high perceived effort, concerning changes in walking information, or a decline at supervised reassessment. The study team may pause, simplify, or review the plan when needed.
Detailed description
This study evaluates a low-cost, foot-worn sensing prototype and mobile application intended to support gradual walking activity in older adults. Many commercially available activity tools provide step counts or fixed goals but do not combine simple foot-level movement information, perceived effort, symptom reporting, and conservative progression rules. The proposed system is designed to explore whether a simpler and more accessible approach can be implemented reliably in community-dwelling older adults.
The smart sock is a removable research prototype used with ordinary footwear. Its sensing module combines an FSR402 force-sensitive resistor placed beneath the forefoot with the integrated inertial measurement unit in a Seeed Studio XIAO nRF52840 Sense board. The FSR402 is used to identify changes in foot contact, while the inertial sensor records patterns of acceleration and angular movement. These signals are used to derive step events, cadence, inter-step timing, and simple indicators of walking rhythm. The system is intended for activity monitoring and coaching only. It is not designed to diagnose disease, measure laboratory-grade plantar pressure, estimate oxygen consumption, predict falls, provide emergency alerts, or replace clinical assessment.
The prototype is built from readily available components to support reproducibility and low cost. It includes a protected 3.7-V lithium-polymer battery, a 3.3-kΩ 1/4-W metal-film resistor, flexible insulated wire, a small green perforated FR-4 prototype printed circuit board, and a removable protective enclosure. The FSR402 and resistor form a 3.3-V voltage-divider circuit connected to the analog input of the XIAO board. The board uses Bluetooth Low Energy to send session summaries to the mobile application. The electronics are enclosed and positioned above the foot or near the shoe laces; the sensor sits beneath the removable insole at the forefoot. The battery is not charged while the device is worn or inside the shoe.
The mobile application is designed specifically for older adults. Its interface uses large high-contrast text, clear icons, plain-language prompts, minimal navigation, optional audio prompts, and a direct method to pause a session or report a symptom. Rather than showing complex sensor graphs, the application provides a small number of understandable messages about the current walking plan, session completion, perceived effort, and whether the current level should be maintained, reviewed for cautious progression, or paused.
The progression approach is intentionally conservative. The application does not advance activity after a single successful session. It considers repeated session completion, perceived exertion within the intended range, absence of a reported fall or warning symptom, and the absence of concerning changes in the derived walking indicators. When conditions are favorable, only one part of the walking plan is changed at a time, such as a small increase in walking duration or a reduction in a planned recovery period. A report of pain, dizziness, unusual shortness of breath, a fall, high perceived effort, device discomfort, or a concerning walking trend leads to pausing, repeating, simplifying, or reviewing the plan rather than automatic progression.
The application includes an optional participant-controlled family-support function. If a participant chooses this option, a trusted family member or helper may receive limited practical notifications, such as that a session was completed, paused, or that a check-in may be helpful. The support person cannot see raw sensor information, perceived-effort ratings, symptoms, health history, functional-assessment results, or the application's progression rule. They cannot change the participant's settings, override an alert, or make a progression decision. This feature is intended to support encouragement and practical assistance while preserving participant autonomy and privacy.
The study will document whether the hardware, software, instructions, and monitoring workflow can be delivered as planned and whether the system produces usable information for a later, appropriately powered effectiveness study. Technical assessment will focus on agreement of device-derived step events and cadence with reference observations. Implementation assessment will consider wearable fit, battery and charging performance, data transfer, technical faults, ease of setup, device comfort, accessibility of the application, and acceptability of optional family support. Information collected by the application will be limited to data necessary for monitoring and evaluation, including time-stamped step events or derived features, session information, perceived effort, symptom reports, app status, technical logs, and selected family-support preferences. Data will be handled through institutionally approved, secure procedures.
Study design
- Primary purpose
- Prevention
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Adaptive Smart Sock and Mobile Application | Experimental | Device: Low-Cost Smart Sock and Older-Adult Mobile ApplicationParticipants will use a low-cost smart sock and an older-adult mobile application for 12 weeks. The smart sock records step timing, cadence, and walking-rhythm indicators and sends session summaries to the app through Bluetooth Low Energy. The app provides an individual walking plan, session-completion prompts, rating of perceived exertion and symptom reporting, simple walking-trend feedback, conservative progression rules, and optional privacy-controlled family-support notifications. The system is not intended to diagnose disease, predict falls, provide emergency monitoring, or replace clinical assessment |
| Standard Individual Walking Plan | Active comparator | Other: Standard Individual Walking PlanParticipants will follow a standard, nonadaptive individual walking plan for 12 weeks. The plan includes the same broad recommended walking frequency, safety information, and scheduled study contact. Participants will complete the program independently and will not receive the smart sock, individualized mobile-app feedback, automated progression, or study-provided family support |
Who may qualify
- Ages
- 60 days and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Child, Adult, Older adult
Key inclusion criteria (8 listed)
- Aged 60 years or older.
- Living in the community (not residing in an institutional care facility).
- Able to walk independently, with or without a customary walking aid, when considered safe by the study team.
- Insufficiently active or interested in improving regular walking activity.
- Has a compatible smartphone or access to a study-supported smartphone.
Key exclusion criteria (7 listed)
- Chest pain during physical activity or at rest that has not been medically assessed.
- Unexplained dizziness, fainting, or loss of consciousness.
- Acute lower-limb injury, severe foot pain, or another condition that prevents safe walking.
- Unstable medical condition or a condition for which gradual unsupervised walking progression is considered inappropriate.
- A fall in the recent period that required medical attention, unless cleared by an appropriate health professional.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Low-Cost Smart Sock and Older-Adult Mobile ApplicationA low-cost foot-worn research prototype and mobile application for monitoring walking-related information and supporting gradual physical activity in adults aged 60 years and older. The device includes an FSR402 force-sensitive resistor, Seeed Studio XIAO nRF52840 Sense board with integrated motion sensor, protected 3.7-V lithium-polymer battery, and Bluetooth Low Energy connectivity. The application provides an individual walking plan, session completion prompts, perceived-exertion and symptom reporting, simple walking-trend feedback, conservative progression rules, and optional privacy-controlled family-support notifications. The system is not intended to diagnose disease, predict falls, provide emergency monitoring, or replace clinical assessment. | Device | Adaptive Smart Sock and Mobile Application |
| Standard Individual Walking PlanA standard, nonadaptive individual walking plan with safety information and scheduled study contact. Participants complete the plan independently and do not receive the smart sock, individualized application feedback, automated progression, or study-provided family support. | Other | Standard Individual Walking Plan |
Primary outcome
Rating of Perceived Exertion During Walking Sessions
Time frame: Week 1 through Week 12
Participants will rate their perceived physical effort after each planned walking session using a 10-point Rating of Perceived Exertion scale. Scores range from 1 to 10, where 1 indicates very light effort and 10 indicates maximal perceived effort. Higher scores indicate greater perceived exertion and may indicate lower exercise tolerance or a need to pause, repeat, or simplify the current walking plan.
Smart-Sock and Mobile-Application Data Completeness
Time frame: Baseline through Week 12
Percentage of expected device and application data records available for analysis. Scores range from 0% to 100%; higher percentages indicate better data completeness.
Safety Events
Time frame: Baseline through Week 12
Number of reported falls, near-falls, warning symptoms, device discomfort events, battery/charging concerns, and technical faults. Lower numbers indicate better safety and technical acceptability.
3 secondary outcomes
Six-Minute Walk Test Distance
Time frame: Baseline, Week 6, and Week 12
Timed Up and Go Test Time
Time frame: Baseline, Week 6, and Week 12
30-Second Chair Stand Test Repetitions
Time frame: Baseline, Week 6, and Week 12
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 2 Nov 2026.
- Background: PubMed 33924403Prasanth H, Caban M, Keller U, Courtine G, Ijspeert A, Vallery H, von Zitzewitz J. Wearable Sensor-Based Real-Time Gait Detection: A Systematic Review. Sensors (Basel). 2021 Apr 13;21(8):2727. doi: 10.3390/s21082727.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Questions about this trial
What is this clinical trial studying?
A study testing Low-Cost Smart Sock and Older-Adult Mobile Application and Standard Individual Walking Plan in people with Walking Mesh, run by University of Malaya.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 8 inclusion and 7 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: opening soon, as of the sponsor's last update on 2 Nov 2026. Status can change between updates, so confirm with the study contact before making plans.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Azari J Medhir, PhD (+60 199561806 ext. +966 544152309, moh37471@gmail.com), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Rating of Perceived Exertion During Walking Sessions (time frame: Week 1 through Week 12). The study lists 3 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT07902102, which also lists 1 linked publication.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 2 Nov 2026.