Wearable Device Positioning for Activity Recognition and Monitoring

The rise of wearable devices offers numerous opportunities for monitoring human activities and behaviors, even outside hospital settings. Human Activity Recognition techniques utilize sensor data from wearables and smartphones to extract patterns and determine the activities performed. This study focuses on Human Activity Recognition for Haemophilia patients, to identify the optimal sensor positions for accurate activity detection. We have collected data from 5 key activities using multiple wearable devices, to determine the most informative features and device positions. Our results indicate that placing the devices on the ankle, closer to the source of movements, achieves the highest performance. Using such device, we are able to recognize these activities with F1 scores close to 1.