Human movement activity classification approaches that use wearable sensors and mobile devices
Sahak Kaghyan, Hakob G. Sarukhanyan, David Akopian · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2013
Cell phones and other mobile devices become part of human culture and change activity and lifestyle patterns. Mobile phone technology continuously evolves and incorporates more and more sensors for enabling advanced applications. Latest generations of smart phones incorporate GPS and WLAN location finding modules, vision cameras, microphones, accelerometers, temperature sensors etc. The availability of these sensors in mass-market communication devices creates exciting new opportunities for data mining applications. Particularly healthcare applications exploiting build-in sensors are very promising. This paper reviews different approaches of human activity recognition.