Wireless gesture recognition system using MEMS accelerometer

Gesture recognition system is a system to interpret movement of hand or head via algorithms. Algorithms to interpret gesture are in the form of software, hardware or combination of both. The main goal of gesture recognition system is to enable humans to communicate with machine. This paper present the development of wireless Bluetooth hand gesture recognition system using six 3-axis accelerometers embedded in a glove and a database system in a computer. This system can recognize any sampled data saved in the database while promoting maximum portability and mobility to the user via wireless Bluetooth technology. Analyses such as static data, dynamic data, and average recognition rates relationships are discussed in this paper.

[1]  Nicu Sebe,et al.  Multimodal Human Computer Interaction: A Survey , 2005, ICCV-HCI.

[2]  M. S. Sahane,et al.  Visual Interpretation Of Hand Gestures For Human Computer Interaction , 2014 .

[3]  Rainer Stiefelhagen,et al.  Visual recognition of pointing gestures for human-robot interaction , 2007, Image Vis. Comput..

[4]  Elisabeth André,et al.  Wave like an Egyptian: accelerometer based gesture recognition for culture specific interactions , 2008, BCS HCI.

[5]  Vladimir Pavlovic,et al.  Special issue on vision for human-computer interaction , 2007, Comput. Vis. Image Underst..

[6]  Thad Starner,et al.  Visual Recognition of American Sign Language Using Hidden Markov Models. , 1995 .

[7]  Bharti Bansal,et al.  Gesture Recognition: A Survey , 2016 .

[8]  Nicu Sebe,et al.  Multimodal Human Computer Interaction: A Survey , 2005, ICCV-HCI.

[9]  A. Rosenfeld,et al.  IEEE TRANSACTIONS ON SYSTEMS , MAN , AND CYBERNETICS , 2022 .

[10]  Vladimir Pavlovic,et al.  Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[11]  Tae-Seong Kim,et al.  3-D hand motion tracking and gesture recognition using a data glove , 2009, 2009 IEEE International Symposium on Industrial Electronics.

[12]  Hideyuki Sawada,et al.  Fuzzy sensor for gesture recognition based on motion and shape recognition of hand , 2003, IEEE International Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems, 2003. VECIMS '03. 2003.

[13]  Michael J. Lyons,et al.  Automatic Classification of Single Facial Images , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[14]  Christine L. Lisetti,et al.  Automatic facial expression interpretation: Where human-computer interaction, artificial intelligence and cognitive science intersect , 2000 .