@article{(Open Science Index):https://publications.waset.org/pdf/10009483,
	  title     = {Hand Gestures Based Emotion Identification Using Flex Sensors},
	  author    = {S. Ali and  R. Yunus and  A. Arif and  Y. Ayaz and  M. Baber Sial and  R. Asif and  N. Naseer and  M. Jawad Khan },
	  country	= {},
	  institution	= {},
	  abstract     = {In this study, we have proposed a gesture to emotion recognition method using flex sensors mounted on metacarpophalangeal joints. The flex sensors are fixed in a wearable glove. The data from the glove are sent to PC using Wi-Fi. Four gestures: finger pointing, thumbs up, fist open and fist close are performed by five subjects. Each gesture is categorized into sad, happy, and excited class based on the velocity and acceleration of the hand gesture. Seventeen inspectors observed the emotions and hand gestures of the five subjects. The emotional state based on the investigators assessment and acquired movement speed data is compared. Overall, we achieved 77% accurate results. Therefore, the proposed design can be used for emotional state detection applications.
},
	    journal   = {International Journal of Industrial and Systems Engineering},
	  volume    = {12},
	  number    = {9},
	  year      = {2018},
	  pages     = {882 - 886},
	  ee        = {https://publications.waset.org/pdf/10009483},
	  url   	= {https://publications.waset.org/vol/141},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 141, 2018},
	}