A Multi-Modal Dataset for Ground Reaction Force Estimation Using Consumer Wearable Sensors

1. 1Collect and preprocess data from wearable sensors and force plates
2. 2Develop and train machine learning models for vGRF estimation
3. 3Evaluate model performance using metrics such as mean absolute error and R-squared
4. 4Explore applications of vGRF estimation in fields like sports, healthcare, and robotics

Data scientists and AI engineers on a team can benefit from this dataset to develop and fine-tune models for human activity analysis, while product managers can explore new applications for wearable devices

💡 Consumer-grade wearable sensors can be used to estimate vertical ground reaction force with reasonable accuracy

🏃‍♂️ New dataset for estimating ground reaction force using Apple Watch sensors! 📊