DocumentCode
2458583
Title
Review on hand gesture based mobile control application
Author
Mankar, Swapnil M. ; Chhabria, Sharda A.
Author_Institution
Dept. of Comput. Sci. & Eng., G.H. Raisoni Coll. of Eng., Nagpur, India
fYear
2015
fDate
8-10 Jan. 2015
Firstpage
1
Lastpage
2
Abstract
Inexisting interfaces such as Digital pen which capture only one kind of gesture and in proposed system interfaces it brings a new interaction process. It can recognize both small scale and large scale gestures. An algorithmic framework is for information about Acceleration and Surface Electromyographical (SEMG) signals for gesture identification. In addition, the system consist of a wearable gesture sensing device and an application program along with the algorithmic framework for a mobile phone, will be designed to realize gesture-based real-time interaction. The device which is worn on the forearm, using that device user will be able to manipulate a mobile phone using predefined gestures or even personalized ones. In this system Accelerometer Sensor measure large scale gesture and SEMG sensors measure the small scale gesture. Both this sensors are used for the gesture recognition.
Keywords
electromyography; gesture recognition; mobile computing; user interfaces; accelerometer sensor; algorithmic framework; application program; digital pen; gesture based real-time interaction; gesture identification; gesture recognition; hand gesture; interaction process; mobile control application; mobile phone; surface electromyographical signals; wearable gesture sensing device; Acceleration; Accelerometers; Algorithm design and analysis; Electromyography; Gesture recognition; Mobile communication; Mobile handsets; Accelerometer; gesture based real time interaction; hand gesture; large scale gesture; small scale gesture; surface electromyography;
fLanguage
English
Publisher
ieee
Conference_Titel
Pervasive Computing (ICPC), 2015 International Conference on
Conference_Location
Pune
Type
conf
DOI
10.1109/PERVASIVE.2015.7087125
Filename
7087125
Link To Document