%0 Journal Article %1 Divekar_2015 %A Divekar, Ravindra %A Salvi, Nishant %A Agha, Shaoor %A Tiwari, Sapan %D 2015 %I Auricle Technologies, Pvt., Ltd. %J International Journal on Recent and Innovation Trends in Computing and Communication %K (Human (Information Background Computer HCI IT Image Interaction) Subtraction Technology) processing vision %N 3 %P 1468--1471 %R 10.17762/ijritcc2321-8169.1503123 %T Hand Gesture Recognition for Performing General Operations on Computer Machine %U http://dx.doi.org/10.17762/ijritcc2321-8169.1503123 %V 3 %X In this paper we introduce a prototype of hand gesture recognition system to interpret single handed static human hand gestures for the purpose of performing operations on the computer machine. This system makes use of an external webcam to capture the single handed static hand gesture of the user, identify the hand gesture and perform the desired associated action after matching the input gesture with the ones present in the database. Our real time hand recognition system is three fold: 1) feature extraction, 2) enhancement and 3) recognition. Extraction of the feature is achieved with the help of background subtraction. For the purpose of feature enhancement and image processing OpenCV libraries are imported and used. For recognition, various features with their own objectives are constructed from hand postures and compared according to the similarity measures and the best- matched posture is used for performing the desired action after matching. We can also build application interfaces for devices running on Operating systems such as air conditioners, smart TVs and computers by using this system.

@article{Divekar_2015, abstract = {In this paper we introduce a prototype of hand gesture recognition system to interpret single handed static human hand gestures for the purpose of performing operations on the computer machine. This system makes use of an external webcam to capture the single handed static hand gesture of the user, identify the hand gesture and perform the desired associated action after matching the input gesture with the ones present in the database. Our real time hand recognition system is three fold: 1) feature extraction, 2) enhancement and 3) recognition. Extraction of the feature is achieved with the help of background subtraction. For the purpose of feature enhancement and image processing OpenCV libraries are imported and used. For recognition, various features with their own objectives are constructed from hand postures and compared according to the similarity measures and the best- matched posture is used for performing the desired action after matching. We can also build application interfaces for devices running on Operating systems such as air conditioners, smart TVs and computers by using this system.}, added-at = {2015-08-13T06:46:22.000+0200}, author = {Divekar, Ravindra and Salvi, Nishant and Agha, Shaoor and Tiwari, Sapan}, biburl = {https://www.bibsonomy.org/bibtex/256418eecc3b149c1e3da20d345f18238/ijritcc}, doi = {10.17762/ijritcc2321-8169.1503123}, interhash = {ff083cc86a91bd5c3c44dccd19b5f14f}, intrahash = {56418eecc3b149c1e3da20d345f18238}, journal = {International Journal on Recent and Innovation Trends in Computing and Communication}, keywords = {(Human (Information Background Computer HCI IT Image Interaction) Subtraction Technology) processing vision}, month = {march}, number = 3, pages = {1468--1471}, publisher = {Auricle Technologies, Pvt., Ltd.}, timestamp = {2015-08-13T06:46:22.000+0200}, title = {Hand Gesture Recognition for Performing General Operations on Computer Machine}, url = {http://dx.doi.org/10.17762/ijritcc2321-8169.1503123}, volume = 3, year = 2015 }