Advanced SearchSearch Tips
Hand Gesture Recognition Using an Infrared Proximity Sensor Array
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Hand Gesture Recognition Using an Infrared Proximity Sensor Array
Batchuluun, Ganbayar; Odgerel, Bayanmunkh; Lee, Chang Hoon;
  PDF(new window)
Hand gesture is the most common tool used to interact with and control various electronic devices. In this paper, we propose a novel hand gesture recognition method using fuzzy logic based classification with a new type of sensor array. In some cases, feature patterns of hand gesture signals cannot be uniquely distinguished and recognized when people perform the same gesture in different ways. Moreover, differences in the hand shape and skeletal articulation of the arm influence to the process. Manifold features were extracted, and efficient features, which make gestures distinguishable, were selected. However, there exist similar feature patterns across different hand gestures, and fuzzy logic is applied to classify them. Fuzzy rules are defined based on the many feature patterns of the input signal. An adaptive neural fuzzy inference system was used to generate fuzzy rules automatically for classifying hand gestures using low number of feature patterns as input. In addition, emotion expression was conducted after the hand gesture recognition for resultant human-robot interaction. Our proposed method was tested with many hand gesture datasets and validated with different evaluation metrics. Experimental results show that our method detects more hand gestures as compared to the other existing methods with robust hand gesture recognition and corresponding emotion expressions, in real time.
Manifold feature;Efficient feature;Fuzzy logic;Fuzzy rule;Emotion expression;
 Cited by
Guanglong Du, Ping Zhang, Jianhua Mai and Zeling Li, "Markerless Kinect-Based hand Tracking for Robot Teleoperation,

Use Leap Motion with Google Earth.

Contactless Gesture Recognition System Using Proximity Sensors Heng-Tse Cheng, An Mei Chen, Ashu Razdan, Elliot Buller

Generalized Feature Extraction for Structural Pattern Recognition in time Series Data Robert T.Olszewski Feb 2001 CMU-CS-01-108School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213

Bayanmunkh Odgerel and Chang-Hoon Lee, "Sudden Illumination Change Detection and Image Contrast Enhancement", Advances in Intelligent Systems and Computing Volume 273,2014,pp 1-10, Springer crossref(new window)

Jyh-Shing Roger Jang, "Adaptive Network-Based Fuzzy Inference System", IEEE Transactions On Systems, Man, And Cybernetics, Vol.23, No.3, May/June 1993.

Zadeh, Lotfi A, "Is there a need for fuzzy logic?", Fuzzy Information Processing Society, 2008. NAFIPS 2008. Annual Meeting of the North American,19-22 May 2008

Discovering Basic Emotion Sets Via Semantic Clustering on a Twitter Corpus Eugene Yuta Bann Salesmbier, L. Torres, F. Meyer and C. Gu, "Region-based Video Coding Using Mathematical Morphology," Proc. of the IEEE, vol. 83, no. 6, pp. 843-857, 1995. crossref(new window)