High Performance Real-Time Gesture Recognition Using Hidden Markov Models
Proceedings of the International Gesture Workshop on Gesture and Sign Language in Human-Computer Interaction
New Improved Feature Extraction Methods for Real-Time High Performance Image Sequence Recognition
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97) -Volume 4 - Volume 4
A sequential pruning strategy for the selection of the number of states in hidden Markov models
Pattern Recognition Letters
Investigating Hidden Markov Models' Capabilities in 2D Shape Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Online decoding of Markov models under latency constraints
ICML '06 Proceedings of the 23rd international conference on Machine learning
SPIRAL: efficient and exact model identification for hidden Markov models
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Detecting gesture force peaks for intuitive interaction
IE '08 Proceedings of the 5th Australasian Conference on Interactive Entertainment
Component-based discriminative classification for hidden Markov models
Pattern Recognition
Fast likelihood search for hidden Markov models
ACM Transactions on Knowledge Discovery from Data (TKDD)
Similarity-based classification of sequences using hidden Markov models
Pattern Recognition
Independent shape component-based human activity recognition via Hidden Markov Model
Applied Intelligence
Multifactor feature extraction for human movement recognition
Computer Vision and Image Understanding
Proceedings of the 2nd Conference on Wireless Health
Bayesian filter based behavior recognition in workflows allowing for user feedback
Computer Vision and Image Understanding
Recognition of human action for game system
AIS'04 Proceedings of the 13th international conference on AI, Simulation, and Planning in High Autonomy Systems
Part-based motion descriptor image for human action recognition
Pattern Recognition
Accelerometer based gesture recognition using continuous HMMs
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I
A method for online analysis of structured processes using bayesian filters and echo state networks
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
Fusion of human posture features for continuous action recognition
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part I
Pointing gesture recognition using compressed sensing for training data reduction
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
Guest Editorial: Gesture and speech in interaction: An overview
Speech Communication
Hidden Markov model for human to computer interaction: a study on human hand gesture recognition
Artificial Intelligence Review
A top-down event-driven approach for concurrent activity recognition
Multimedia Tools and Applications
| Hi-index | 0.00 |
This paper presents the extension of an existing visionbased gesture recognition system using Hidden Markov Models (HMMs). Several improvements have been carried out in order to increase the capabilities and the functionality of the system. These improvements include positionindependent recognition, rejection of unknown gestures, and continuous online recognition of spontaneous gestures. We show that especially the latter requirement is highly complicated and demanding, if we allow the user to move in front of the camera without any restrictions and to perform the gestures spontaneously at any arbitrary moment. We present novel solutions to this problem by modifying the HMM-based decoding process and by introducing online feature extraction and evaluation methods.