Homecare Robotic Systems: Wearable Remote Sensing with Interactive AI Features

Driven by the advent of new technologies in robotics, healthcare technologies have also been revolutionized (Healthcare 4.0) and there have been significant improvements in healthcare. Newer technologies such as homecare robotic systems (HRS) based on cyber-physical systems (CPS) are also emerging rapidly. In this paper, a new-cost cost-effective, easy-to-use system is proposed for the CPS-based HRS combined with artificial intelligence (AI) and intelligent wearable sensors and remote sensing. The sensing system created measures the important parameters required to monitor a user’s namely SPO2, Heart Rate, and Temperature using the photoplethysmography method. It also provides additional features namely, Fall detection and GPS Location of the user. These features are essential for monitoring the well-being and safety of elderly users. The HRS system is integrated with Deep Neural Networks (DNN) to provide intelligent accurate predictions based on the real-time sensing data uploaded to the cloud alerting the user of any advent health dangers that might occur to the user.