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.

Inclusion Criteria:

• Age range of 18-70 years

Exclusion Criteria:

• Refusal to adhere to covid19 safety guidelines

Convenient sample recruited within Tufts University

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