Journal ArticleDOI
MEMS Accelerometer Based Nonspecific-User Hand Gesture Recognition
Ruize Xu,Shengli Zhou,Wen J. Li +2 more
TLDR
A recognition algorithm based on sign sequence and template matching as presented in this paper can be used for nonspecific-users hand-gesture recognition without the time consuming user-training process prior to gesture recognition.Abstract:
This paper presents three different gesture recognition models which are capable of recognizing seven hand gestures, i.e., up, down, left, right, tick, circle, and cross, based on the input signals from MEMS 3-axes accelerometers. The accelerations of a hand in motion in three perpendicular directions are detected by three accelerometers respectively and transmitted to a PC via Bluetooth wireless protocol. An automatic gesture segmentation algorithm is developed to identify individual gestures in a sequence. To compress data and to minimize the influence of variations resulted from gestures made by different users, a basic feature based on sign sequence of gesture acceleration is extracted. This method reduces hundreds of data values of a single gesture to a gesture code of 8 numbers. Finally, the gesture is recognized by comparing the gesture code with the stored templates. Results based on 72 experiments, each containing a sequence of hand gestures (totaling 628 gestures), show that the best of the three models discussed in this paper achieves an overall recognition accuracy of 95.6%, with the correct recognition accuracy of each gesture ranging from 91% to 100%. We conclude that a recognition algorithm based on sign sequence and template matching as presented in this paper can be used for nonspecific-users hand-gesture recognition without the time consuming user-training process prior to gesture recognition.read more
Citations
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Journal Article
Hand gestures controlled wheel chair
TL;DR: The proposed work is to fabricate a hand gesture based wheelchair using Gesture Control System to develop a wheel chair control which is useful to the physically disabled person with his hand movement or his hand gesture recognition using MEMS technology.
Book ChapterDOI
Microcontroller Based Security Protection and Location Identification of Bike Riders
TL;DR: The proposed framework is a smart protective cap that guarantees the security of biker, by making it important to wear a head protector/helmet, according to government rules, additionally to get legitimate and brief restorative consideration, in the wake of meeting with a mishap.
Journal ArticleDOI
Comparison and Evaluation of Machine Learning-Based Classification of Hand Gestures Captured by Inertial Sensors
TL;DR: A comparison of eight different machine learning (ML) classifiers in the task of human hand gesture recognition and classification leads to the conclusion that the LR is the most suitable classifier among tested for on-line applications in resource-constrained environments, due to its lower computational complexity in comparison with other tested algorithms.
Proceedings ArticleDOI
INTELLIGENT GLOVE (iGLOVE) for Traffic Enforcers
TL;DR: The creation and integration of the iGlove showed the 100% effectiveness and functionality of the device within 10 meters radius and depreciated on the succeeding 15 meters to 20meters by 90% to 85% respectively.
System application processing based on human body movements
TL;DR: A new method for human hand movement control in virtual environment is given, by eliminating the need of external device currently used for hand movements capture and conversion.
References
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Book
Pattern Recognition and Machine Learning
TL;DR: Probability Distributions, linear models for Regression, Linear Models for Classification, Neural Networks, Graphical Models, Mixture Models and EM, Sampling Methods, Continuous Latent Variables, Sequential Data are studied.
Journal ArticleDOI
Pattern Recognition and Machine Learning
TL;DR: This book covers a broad range of topics for regular factorial designs and presents all of the material in very mathematical fashion and will surely become an invaluable resource for researchers and graduate students doing research in the design of factorial experiments.
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Principles of Interactive Computer Graphics
TL;DR: The principles of interactive computer graphics are discussed in this article, where the authors propose a set of principles for the development of computer graphics systems, including the principles of Interactive Computer Graphics (ICG).
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
Glove-Talk: a neural network interface between a data-glove and a speech synthesizer
Sidney Fels,Geoffrey E. Hinton +1 more
TL;DR: To illustrate the potential of multilayer neural networks for adaptive interfaces, a VPL Data-Glove connected to a DECtalk speech synthesizer via five neural networks was used to implement a hand-gesture to speech system, demonstrating that neural networks can be used to develop the complex mappings required in a high bandwidth interface that adapts to the individual user.