Measurement of Body Weight Using Shoe Insole Pressure Sensors

NCT ID: NCT05265533

Last Updated: 2023-09-14

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

62 participants

Study Classification

OBSERVATIONAL

Study Start Date

2021-03-22

Study Completion Date

2023-02-22

Brief Summary

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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

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Conditions

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Effect of Different Weights

Study Design

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Observational Model Type

OTHER

Study Time Perspective

CROSS_SECTIONAL

Eligibility Criteria

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Inclusion Criteria

* Age range of 18-70 years

Exclusion Criteria

* Refusal to adhere to covid19 safety guidelines
Minimum Eligible Age

18 Years

Maximum Eligible Age

70 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Tufts University

OTHER

Sponsor Role lead

Responsible Party

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Susan Roberts

Senior Scientist

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Susan Roberts

Boston, Massachusetts, United States

Site Status

Countries

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United States

Other Identifiers

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STUDY00001324

Identifier Type: -

Identifier Source: org_study_id

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