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Measurement of Body Weight Using Shoe Insole Pressure Sensors

Tufts University logo

Tufts University

Status

Completed

Conditions

Effect of Different Weights

Study type

Observational

Funder types

Other

Identifiers

NCT05265533
STUDY00001324

Details and patient eligibility

About

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.

Enrollment

62 patients

Sex

All

Ages

18 to 70 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Age range of 18-70 years

Exclusion criteria

  • Refusal to adhere to covid19 safety guidelines

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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