Measurement of Body Weight Using Shoe Insole Pressure Sensors

Completed

• Conditions: Effect of Different Weights

• Registration Number: NCT05265533
• Lead Sponsor: Tufts University

Brief Summary

The purpose of this study is to create a dataset to help accelerate machine learning (ML) based solutions for applications such as activity recognition, detect changes in weight and predict weight of carried load. The research will further help in the development of novel machine learning-based algorithm for accurately predicting the body weight of an individual in real-time and within few ounces error margin, using sampled data from smart insole sensors.

Detailed Description

Not available

Study Timeline

• Study Start: 2021-03-22
• Study First Submitted: 2022-02-22
• Study First Submitted QC: 2022-02-22
• Study First Posted: 2022-03-03
• Primary Completion: 2023-02-22
• Study Completion: 2023-02-22
• Status Verified: 2023-09
• Last Update Submitted: 2023-09-13
• Last Update Posted: 2023-09-14

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 62

Inclusion Criteria

• Age range of 18-70 years

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Exclusion Criteria

• Refusal to adhere to covid19 safety guidelines

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Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Pressure readings	1hr

Trial Locations

Locations (1)

Susan Roberts; 🇺🇸 Boston, Massachusetts, United States