Co-author(s) :

Sarukhanyan Hakob

Abstract:

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.

Identifier:

oai:noad.sci.am:135998

Language:

English

URL:

Additional Information:

sahak.kaghyan@gmail.com ; hakop@ipia.sci.am

Affiliation:

Institute for Informatics and Automation Problems

Country:

Armenia

Year:

2015

Time period:

September 28 - October 2

Conference title:

10 th International Conference on Computer Science and Information Technologies CSIT 2015

Place:

Yerevan

Participation type:

oral