Face and hand gesture recognition for secure control of equipment
Tác giả
Tài liệu tham khảo
[1] Zhu, J., Chen, Z.: Real time face detection system using Adaboost and Haar-like features. In: Proceedings of the 2nd International Conference on Information Science and Control Engineering, pp. 404–407 (2015)
[2] Ahuja, M.K., Singh, A.: Static vision based hand gesture recognition using principal component analysis. In: Proceeding of the IEEE 3rd International Conference on MOOCs, Innovation and Technology in Education (MITE), pp. 402–406 (2015)
[3] Hsieh, C., Liou, D.H., Lai, W.: Enhanced face-based adaptive skin color model. J. Appl. Sci. Eng. 15(2), 167–176 (2012)
[4] Mo, L., Li, F., Zhu, Y., Huang, A.: Hand Gesture Recognition System with Real-time Palm Tracking. In: Proceeding of the Annual IEEE India Conference (INDICON), 14 February, pp. 150–155 (2015)
[5] Gavrilescu, M.: Recognizing emotions from videos by studying facial expressions, body postures and hand gestures. In: Proceeding of the 23rd Telecommunications Forum Telfor (TELFOR), pp. 720–723 (2015)
[6] Kim, D., Lee, S., Paik, J.: Active shape model-based gait recognition using infrared images. In: Proceedings of the International Journal Signal Process Image Process Pattern Recognition, vol. 2, pp. 1–13 (2009)
[7] Stergiopouloua, E., Papamarkos, N.: Hand gesture recognition using a neural network shape fitting technique. In: Proceedings of the Engineering Application Artificial International Conference, pp. 1141–1158 (2009)
[8] Chun, Z., Weihua, S.: Real time recognition of complex daily activities using dynamic Bayesian network. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 3395–3400 (2009)
[9] Ciprian, D., Vasile, G., Pekka, N., Veijo, K.: Dynamic hand gesture recognition for human computer interactions. In: Proceedings of the 6th IEEE International Symposium on Applied Computational Intelligence and Informatics, pp. 165–170 (2011)
[10] Yannick, D., Guillaume, B., Samir, O., Malik, M.: A discrete hidden Markov models recognition module for temporal series: application to real-time 3d hand gestures. In: Proceedings of the 2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA), pp. 299–304 (2012)
[11] Yanmei, C., Bing, C., Yen, L., Guoyuan, L., Xinyu, W.: A real-time dynamic hand gesture recognition system using Kinect sensor. In: Proceedings of the 2015 IEEE International Conference on Robotics and Biometrics (ROBIO), pp. 2026–2030 (2015)