Book ChapterDOI
Continuous Gesture Recognition Based on Hidden Markov Model
Meng Yu,Gang Chen,Zilong Huang,Qiang Wang,Yuan Chen +4 more
- pp 3-11
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TLDR
A gesture recognition based on accelerometer, which is modeled by Hidden Markov Model, is proposed, which works well in detecting valid gesture data while recognition time and the computation load can be reduced in the case of guaranteeing recognition precision.Citations
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Journal ArticleDOI
1 Gesture Based Communication System for Vocally Impaired.
TL;DR: A system based on image processing to identify the sign and perform some common speech patterns using the speaker is proposed, hence breakingdown a speech barrier.
References
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Proceedings ArticleDOI
Gesture recognition with a Wii controller
TL;DR: The design and evaluation of the sensor-based gesture recognition system is presented, which allows the training of arbitrary gestures by users which can then be recalled for interacting with systems like photo browsing on a home TV.
Journal ArticleDOI
A Hand Gesture Recognition Framework and Wearable Gesture-Based Interaction Prototype for Mobile Devices
TL;DR: An algorithmic framework is proposed to process acceleration and surface electromyographic (SEMG) signals for gesture recognition, which includes a novel segmentation scheme, a score-based sensor fusion scheme, and two new features.
Journal ArticleDOI
An Accelerometer-Based Digital Pen With a Trajectory Recognition Algorithm for Handwritten Digit and Gesture Recognition
Jeen-Shing Wang,Fang-Chen Chuang +1 more
TL;DR: The experimental results have successfully validated the effectiveness of the trajectory recognition algorithm for handwritten digit and gesture recognition using the proposed digital pen.
Proceedings ArticleDOI
Gesture recognition for interactive controllers using MEMS motion sensors
Shengli Zhou,Qing Shan,Fei Fei,Wen J. Li,Chung Ping Kwong,Patrick C. K. Wu,Bojun Meng,Christina K. H. Chan,Jay Y. J. Liou +8 more
TL;DR: In the data collection stage, an “auto-cut” algorithm was developed to gather the start and stop motions of an input gesture automatically and the Hidden Markov Model (HMM) was employed to achieve real-time gesture recognition.
Proceedings ArticleDOI
gRmobile: A Framework for Touch and Accelerometer Gesture Recognition for Mobile Games
Mark Joselli,Esteban Clua +1 more
TL;DR: This work presents a novel framework for touch/accelerometer gesture recognition that uses hidden Markov model for recognition of the gestures that can also be used for the development of mobile application with the use of gestures.
Related Papers (5)
3D dynamic gesture recognition based on improved HMMs with entropy
Junhong Wu,Jun Cheng,Wei Feng +2 more