StrengthSense: A Dataset of IMU Signals Capturing Everyday Strength-Demanding Activities

TL;DR

StrengthSense is a new open dataset of IMU signals capturing 11 strength-demanding activities and 2 non-strength activities, enabling improved activity recognition and health monitoring applications.

Contribution

This paper introduces StrengthSense, the first comprehensive IMU dataset for strength-demanding activities with detailed annotations and validation.

Findings

IMU signals accurately reflect joint angles during activities

Dataset includes diverse strength-demanding activities from 29 subjects

Validation shows high reliability of sensor data for activity recognition

Abstract

Tracking strength-demanding activities with wearable sensors like IMUs is crucial for monitoring muscular strength, endurance, and power. However, there is a lack of comprehensive datasets capturing these activities. To fill this gap, we introduce \textit{StrengthSense}, an open dataset that encompasses IMU signals capturing 11 strength-demanding activities, such as sit-to-stand, climbing stairs, and mopping. For comparative purposes, the dataset also includes 2 non-strength demanding activities. The dataset was collected from 29 healthy subjects utilizing 10 IMUs placed on limbs and the torso, and was annotated using video recordings as references. This paper provides a comprehensive overview of the data collection, pre-processing, and technical validation. We conducted a comparative analysis between the joint angles estimated by IMUs and those directly extracted from video to verify the accuracy and reliability of the sensor data. Researchers and developers can utilize \textit{StrengthSense} to advance the development of human activity recognition algorithms, create fitness and health monitoring applications, and more.