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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Proceedings ArticleDOI
A Hierarchical Approach in Food and Drink Intake Recognition Using Wearable Inertial Sensors
TL;DR: The promising preliminary results show that states can be recognized with 100% classification accuracy with the use of a low computational model on a reduced 4-dimensional feature vector, and suggests that it is possible to develop a continuous monitoring system based on a bi-nodal inertial unit.
Proceedings ArticleDOI
Wearable motion capture unit for shoulder injury prevention
TL;DR: This work presents a detection and classification approach that can be used to evaluate the number of times certain motion gestures occur, and uses this approach to track and discriminate shoulder motion gestures in strenuous work and in athletics.
Journal ArticleDOI
Combined hand gesture--speech model for human action recognition.
TL;DR: Experimental results proved that the proposed dynamic hand gesture detection technology and hand gesture recognition technology can effectively improve human behavior recognition accuracy and the feasibility of system applications.
Proceedings ArticleDOI
Hand gesture recognition with SURF-BOF based on Gray threshold segmentation
TL;DR: This paper describes a system for human-computer interaction through images' local features SURF, and it uses threshold segmentation and bag-of-words algorithms to reduce the feature space dimensions.
Journal ArticleDOI
A new IMMU-based data glove for hand motion capture with optimized sensor layout
TL;DR: A new sensor layout strategy using the inertial and magnetic measurement units and a multi-sensor Kalman data fusion algorithm is proposed and designed and promising for lower-cost and residential medical applications.
References
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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.
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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.