Charade: remote control of objects using free-hand gestures
Communications of the ACM - Special issue on computer augmented environments: back to the real world
Learning flexible models from image sequences
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Toward a vision-based hand gesture interface
VRST '94 Proceedings of the conference on Virtual reality software and technology
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
An HMM-Based Threshold Model Approach for Gesture Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Recognition of Human Movement Using Temporal Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hidden Markov Models for Speech Recognition
Hidden Markov Models for Speech Recognition
An HMM-Based Approach for Gesture Segmentation and Recognition
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
Fast Pose Estimation with Parameter-Sensitive Hashing
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Recognition-based gesture spotting in video games
Pattern Recognition Letters
Discriminative Density Propagation for 3D Human Motion Estimation
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Recovering 3D Human Pose from Monocular Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Predicting 3d people from 2d pictures
AMDO'06 Proceedings of the 4th international conference on Articulated Motion and Deformable Objects
Gesture recognition using quadratic curves
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Error bounds for convolutional codes and an asymptotically optimum decoding algorithm
IEEE Transactions on Information Theory
Gesture Recognition in Flow in the Context of Virtual Theater
IVA '08 Proceedings of the 8th international conference on Intelligent Virtual Agents
Gesture recognition in flow based on PCA and using multiagent system
Proceedings of the 2008 ACM symposium on Virtual reality software and technology
Multi-touch gestural interaction in X3D using hidden Markov models
Proceedings of the 2008 ACM symposium on Virtual reality software and technology
Gesture recognition in flow based on PCA analysis using multiagent system
ACE '08 Proceedings of the 2008 International Conference on Advances in Computer Entertainment Technology
Pattern recognition using temporal fuzzy automata
Fuzzy Sets and Systems
Behaviour Recognition from Sensory Streams in Smart Environments
AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
Rejection of non-meaningful activities for HMM-based activity recognition system
Image and Vision Computing
Hand trajectory-based gesture spotting and recognition using HMM
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Automated recognition of sequential patterns in captured motion streams
WAIM'10 Proceedings of the 11th international conference on Web-age information management
Online Event Segmentation in Active Perception using Adaptive Strong Anticipation
Proceedings of the 2010 conference on Biologically Inspired Cognitive Architectures 2010: Proceedings of the First Annual Meeting of the BICA Society
Classification of internal carotid artery Doppler signals using fuzzy discrete hidden Markov model
Expert Systems with Applications: An International Journal
Computer Methods and Programs in Biomedicine
Recognition of gesture sequences in real-time flow, context of virtual theater
GW'09 Proceedings of the 8th international conference on Gesture in Embodied Communication and Human-Computer Interaction
Generalized Model-Based Human Motion Recognition with Body Partition Index Maps
Computer Graphics Forum
Behaviour recognition in smart homes
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Multimedia Tools and Applications
Follow-me!: conducting a virtual concert
Adjunct proceedings of the 25th annual ACM symposium on User interface software and technology
Connecting users to virtual worlds within MPEG-V standardization
Image Communication
Image and Vision Computing
One-shot learning gesture recognition from RGB-D data using bag of features
The Journal of Machine Learning Research
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Existing gesture segmentations use the backward spotting scheme that first detects the end point, then traces back to the start point and sends the extracted gesture segment to the hidden Markov model (HMM) for gesture recognition. This makes an inevitable time delay between the gesture segmentation and recognition and is not appropriate for continuous gesture recognition. To solve this problem, we propose a forward spotting scheme that executes gesture segmentation and recognition simultaneously. The start and end points of gestures are determined by zero crossing from negative to positive (or from positive to negative) of a competitive differential observation probability that is defined by the difference of observation probability between the maximal gesture and the non-gesture. We also propose the sliding window and accumulative HMMs. The former is used to alleviate the effect of incomplete feature extraction on the observation probability and the latter improves the gesture recognition rate greatly by accepting all accumulated gesture segments between the start and end points and deciding the gesture type by a majority vote of all intermediate recognition results. We use the predetermined association mapping to determine the 3D articulation data, which reduces the feature extraction time greatly. We apply the proposed simultaneous gesture segmentation and recognition method to recognize the upper-body gestures for controlling the curtains and lights in a smart home environment. Experimental results show that the proposed method has a good recognition rate of 95.42% for continuously changing gestures.