HUMAN ACTIVITY RECOGNITION AND SMART PHONE DATASET: A LITERATURE SURVEY
| Author(s) | : | Khushbu Dewangan, Abhishek Kumar Dewangan |
| Institution | : | Research Scholar, Department of Computer Science And Engineering, Shri Shankaracharya Group of Institution, Junwani, Bhilai (C.G.), India |
| Published In | : | Vol. 4, Issue 8 — August 2017 |
| Page No. | : | 115-122 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Mobile devices are flattering more refined with every new model release. Nowadays, smart phonesnormally incorporate many diverse and influential sensors for example GPS, microphones, light sensors, temperaturesensors, magnetic compasses, gyroscopes, high-resolution camera sand accelerometers. Human activity recognition(HAR System) has empowered innovative applications in divergent regions such as healthcare, entertainment and safety.There are abundant research which works upon real time processing which causes more power consumption of mobiledevices as we know mobile phones are resource-limited devices and moreover, it is a thought-provoking task toimplement and evaluate different recognition systems on mobile devices. Therefore offline processing is vital over smartphone dataset. In this paper we will study different methods of human activity recognition real time as well as offlineprocessing and we will discuss how we can improve the accuracy of human action recognition system.
Khushbu Dewangan, Abhishek Kumar Dewangan, “HUMAN ACTIVITY RECOGNITION AND SMART PHONE DATASET: A LITERATURE SURVEY”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 8, pp. 115-122, August 2017.
