Measurement of Body Weight Using Shoe Insole Pressure Sensors

September 13, 2023 updated by: Susan Roberts, Tufts University

Measurement of Body Weight Using Smart Shoe Insole Pressure Sensors

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.

Study Overview

Status

Completed

Conditions

Study Type

Observational

Enrollment (Actual)

62

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • United States
    • Massachusetts
      • Boston, Massachusetts, United States, 02111
        • Susan Roberts

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 70 years (Adult, Older Adult)

Accepts Healthy Volunteers

N/A

Sampling Method

Non-Probability Sample

Study Population

Convenient sample recruited within Tufts University

Description

Inclusion Criteria:

  • Age range of 18-70 years

Exclusion Criteria:

  • Refusal to adhere to covid19 safety guidelines

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Pressure readings
Time Frame: 1hr
1hr

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Tufts University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

March 22, 2021

Primary Completion (Actual)

February 22, 2023

Study Completion (Actual)

February 22, 2023

Study Registration Dates

First Submitted

February 22, 2022

First Submitted That Met QC Criteria

February 22, 2022

First Posted (Actual)

March 3, 2022

Study Record Updates

Last Update Posted (Actual)

September 14, 2023

Last Update Submitted That Met QC Criteria

September 13, 2023

Last Verified

September 1, 2023

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • STUDY00001324

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

We plan on sharing the de-identified data collected with other researchers

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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