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Firstly, the hand is extracted from the background by using skin-color features and geometric characteristics. Secondly, a new arm removal algorithm is proposed, which can effectively and quickly remove the arm area by using distance transformation operations, and gesture composed of palm and fingers can be obtained. Finally, Hu moments of the gesture image and the number of fingertips are calculated and entered into the Support Vector Machine (SVM) for training. Experiments have been performed to demonstrate that the proposed algorithm is robust in complex background, and can detect and recognize gestures in real time with an accuracy of 94.89%.<\/jats:p>","DOI":"10.3233\/jifs-18681","type":"journal-article","created":{"date-parts":[[2018,11,13]],"date-time":"2018-11-13T15:53:13Z","timestamp":1542124393000},"page":"6489-6500","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["Arm removal for static hand gesture recognition"],"prefix":"10.1177","volume":"35","author":[{"given":"Bingyuan","family":"Xu","sequence":"first","affiliation":[{"name":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"}]},{"given":"Zhiheng","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"}]},{"given":"Xi","family":"Chen","sequence":"additional","affiliation":[{"name":"GuangZhou Huan Tek Co., Ltd, Guangzhou, China"}]},{"given":"Yi","family":"Yang","sequence":"additional","affiliation":[{"name":"GuangZhou Huan Tek Co., Ltd, Guangzhou, China"}]},{"given":"Zhiwei","family":"Yang","sequence":"additional","affiliation":[{"name":"China Information and Communication Research Institute, China"}]}],"member":"179","published-online":{"date-parts":[[2018,11,12]]},"reference":[{"key":"e_1_3_2_2_2","first-page":"139","article-title":"Implementation and performance evaluation of glove-based HCI methods: Gesture recognition systems using fuzzy algorithm and neural network for the wearable PC, Fuzzy Logic and Applications","volume":"3849","author":"Shin J.H.","year":"2005","unstructured":"J.H.Shin, J.H.Kim, andK.S.Hong, Implementation and performance evaluation of glove-based HCI methods: Gesture recognition systems using fuzzy algorithm and neural network for the wearable PC, Fuzzy Logic and Applications, International Workshop 3849 (2005), 139\u2013145.","journal-title":"International Workshop"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1145\/1216295.1216338"},{"key":"e_1_3_2_4_2","first-page":"748","article-title":"A study of hand shape use in tabletop gesture interaction","author":"Epps J.","year":"2006","unstructured":"J.Epps, S.Lichman and M.Wu, A study of hand shape use in tabletop gesture interaction, Extended Abstracts Proceedings of the 2006 Conference on Human Factors in Computing Systems, 2006, pp. 748\u2013753.","journal-title":"Extended Abstracts Proceedings of the 2006 Conference on Human Factors in Computing Systems"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1145\/2077378.2077380"},{"key":"e_1_3_2_6_2","first-page":"1","article-title":"A Fast Algorithm for Vision-Based Hand Gesture Recognition for Robot Control","author":"Malima A.","year":"2006","unstructured":"A.Malima, E.Ozgur and M.Cetin, A Fast Algorithm for Vision-Based Hand Gesture Recognition for Robot Control, Signal Processing & Communications Applications, IEEE, 2006, pp. 1\u20134.","journal-title":"Signal Processing & Communications Applications, IEEE"},{"key":"e_1_3_2_7_2","first-page":"1160","article-title":"Ges-turebased robot control with variable autonomy from the JPL BioSleeve","author":"Wolf M.T.","year":"2013","unstructured":"M.T.Wolf, C.Assad, M.T.Vernacchia and J.Fromm, Ges-turebased robot control with variable autonomy from the JPL BioSleeve, IEEE International Conference on Robotics and Automation, IEEE, 2013, pp. 1160\u20131165.","journal-title":"IEEE International Conference on Robotics and Automation, IEEE"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2002.1023803"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/ISCV.1995.477012"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1145\/122488.122499"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1007\/11427445_25"},{"key":"e_1_3_2_12_2","volume-title":"Number-sign Hand Posture Recognition Based on Arm-area Removing","author":"Cheng X.Y.","year":"2014","unstructured":"X.Y.Cheng, Number-sign Hand Posture Recognition Based on Arm-area Removing, M.S. 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