Smartphone and Sensor based Health Monitoring Enabled with IoT and ML
Suparna Biswas, Chandreyee Chowdhury · 2020
Due to the emergence of IoT, healthcare domain is currently undergoing a major paradigm shift toward remote and proactive healthcare. The recent pandemic caused by COVID-19 further emphasizes the need for remote and proactive health monitoring supporting the notion of social distancing. Health vitals monitoring, posture and fall detection using widely available and affordable sensors in the form of smartphones, wearable devices, WBAN etc. pave the way to this new paradigm of healthcare monitoring. These applications are mostly data-centric and thus, machine learning techniques are found to play a key role in the data analysis and knowledge extraction. So, the tutorial will cover a 360 degree view of the problem right from the networking issues, data collection and preparation till identification of meaningful patterns along with detailed experimental designs. The tutorial will conclude with the key insights learned and a note on the open research issues in this area.