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 ArticleDOI
Circulating Nurse Assistant: Non-Contact Body Centric Gesture Recognition Towards Reducing Latrogenic Contamination
TL;DR: Fully physically isolated body centric channel gesture sensing provides a new entry point for reducing iatrogenic contamination in circulating nurses, greatly reducing contact operations and reducing the probability of cross-contamination.
Journal ArticleDOI
User Authentication Using Accelerometer Sensor in Wrist-Type Wearable Device
Yong Kwang Kim,Jong Sub Moon +1 more
TL;DR: This paper proposes a method of user authentication through the patterns of arm movement with a wrist-type wearable device using the accelerometer sensor which is built in the device and the 2D Gaussian mixture are modelled.
Journal ArticleDOI
Low-Dimensional Embeddings for Interaction Design
Marius Mihai Rusu,Svenja Yvonne Schött,John Williamson,Albrecht Schmidt,Roderick Murray-Smith +4 more
TL;DR: This research gives system engineers a template for interaction design in the low‐dimensional space by demonstrating the exemplary design of the interaction with a virtual lever using autoencoder‐based dimensionality reduction.
Proceedings ArticleDOI
Remote control with accelerometer-based hand gesture recognition for interaction in digital TV
TL;DR: The proposed device can be considered an evolution of the classic remote control, in which the functionality of hand gesture recognition is implemented as a natural and friendly interface for controlling digital TV systems of the home.
Journal ArticleDOI
A Novel PPG-FMG-ACC Wristband for Hand Gesture Recognition
TL;DR: This paper is the first to combine wrist-based PPG, FMG, and ACC signals for hand gesture recognition, and could serve to inform wrist- based gesture recognition design and thus expand the capabilities of intuitive and ubiquitous human-machine interaction.
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.
Book
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.