A dynamic hand gesture recognition system for controlling VLC media player

Paliwal, Mrinal; Sharma, Gaurav; Nath, D. Badari; Rathore, Aditya Singh; Mishra, Hredeya; Mondal, Sukumar

doi:10.1109/icadte.2013.6524715

Cited by 10 publications

(1 citation statement)

References 12 publications

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“…As compared to those methods, we compare on the basis of selecting number of gestures/expressions with their performances. For hand gesture we see that Alsheakhali et al [4], Paliwal et al [12] and Rautaray et al [13] have lower performance as compared to proposed f gesture . Similarly in case of expression recognition, the proposed method f exp have higher performance as compared to Zhan et al [14], Suk et al [15] and Anand et al [16].…”

Section: B Results and Discussionmentioning

confidence: 79%

MP-FEG: Media Player controlled by Facial Expressions and Gestures

Agarwal

Umer

2015

2015 Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)

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In this paper we represent a new technique to interact with the computer in a non-tangible way. Specifically we have designed a Media Player system controller by Facial Expressions and Gestures (MP-FEG). We detect and track one landmark point on the finger and 18 landmark points on the lips to capture the movement of the finger and the lips of the user. The movement patterns are classified into hand gestures and facial expressions using support vector machine (SVM). We have achieved ∼98.65% and ∼100% recognition accuraciesfor hand-gestures and facial expressions respectively. Occurrence of each of these actions (5 hand-gesturs and 3 facial expressions) is associated with a command to control (e.g., to select, play, pause the video) the video player. Perceptional quality analysis by user survey rates the experience of the non-tangible human-computerinteraction facilited by the proposed technique as 'good'.

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