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Clinical Trial 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.


Clinical Trial Description

n/a


Study Design


Related Conditions & MeSH terms


NCT number NCT05265533
Study type Observational
Source Tufts University
Contact
Status Completed
Phase
Start date March 22, 2021
Completion date February 22, 2023