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Measurement of Body Weight Using Shoe Insole Pressure Sensors

Measurement of Body Weight Using Smart Shoe Insole Pressure Sensors

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05265533
Enrollment
62
Registered
2022-03-03
Start date
2021-03-22
Completion date
2023-02-22
Last updated
2023-09-14

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Effect of Different Weights

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.

Interventions

None listed

Sponsors

Tufts University
Lead SponsorOTHER

Study design

Observational model
OTHER
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Age
18 Years to 70 Years

Inclusion criteria

* Age range of 18-70 years

Exclusion criteria

* Refusal to adhere to covid19 safety guidelines

Design outcomes

Primary

MeasureTime frame
Pressure readings1hr

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026