Cell phones and other mobile devices become the 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 chapter reviews different aspects of human activity recognition, including review of state-of-the-art, implementation and algorithmic aspects.
oai:noad.sci.am:135998
sahak.kaghyan@gmail.com ; hakop@ipia.sci.am
Institute for Informatics and Automation Problems
10 th International Conference on Computer Science and Information Technologies CSIT 2015
Mar 3, 2021
Jul 29, 2020
30
https://noad.sci.am/publication/149612
Հրատարակության անուն | Ամսաթիվ |
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Sahak Kaghyan, Multithreaded Signal Preprocessing Approach for Inertial Sensors of Smartphone | Mar 3, 2021 |
Kaghyan Sahak Akopian David Sarukhanyan Hakob