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Measurement of Body Weight Using Shoe Insole Pressure Sensors

NCT05265533 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 62

Last updated 2023-09-14

No results posted yet for this study

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.

Conditions

  • Effect of Different Weights

Sponsors & Collaborators

  • Tufts University

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
70 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-03-22
Primary Completion
2023-02-22
Completion
2023-02-22

Countries

  • United States

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05265533 on ClinicalTrials.gov