Susan Roberts
Boston, Massachusetts, 02111, United States
Completed
NCT Number: NCT05265533
Measurement of Body Weight Using 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.
Completed
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Notify MeKey information
Conditions
Age range
18 year–70 year
Sex eligibility
All sexes
Study type
Observational
Primary location
Who can participate
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
- Age range of 18-70 years
Exclusion criteria
- Refusal to adhere to covid19 safety guidelines
Treatment and study plan
Primary outcomes
-
Pressure readings
Time frame: 1hr
Sponsors and collaborators
Lead sponsor
Tufts University
Other
Registry information
Official study title
Measurement of Body Weight Using Smart Shoe Insole Pressure Sensors
Important dates
- Study start
- 2021
- Primary completion
- 2023
- Study completion
- 2023
- First posted
- Mar 3, 2022
- Registry last updated
- Sep 14, 2023
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.