Fundamentals of speech recognition
Fundamentals of speech recognition
Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Coupled hidden Markov models for complex action recognition
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Hidden Markov Model Based Continuous Online Gesture Recognition
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Multi Activity Recognition Based on Bodymodel-Derived Primitives
LoCA '09 Proceedings of the 4th International Symposium on Location and Context Awareness
Combining inertial and visual sensing for human action recognition in tennis
Proceedings of the first ACM international workshop on Analysis and retrieval of tracked events and motion in imagery streams
Online gesture recognition for user interface on accelerometer built-in mobile phones
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: models and applications - Volume Part II
Analysis of pattern recognition techniques for in-air signature biometrics
Pattern Recognition
Emerging Input Technologies for Always-Available Mobile Interaction
Foundations and Trends in Human-Computer Interaction
Development of a single 3-axis accelerometer sensor based wearable gesture recognition band
UIC'07 Proceedings of the 4th international conference on Ubiquitous Intelligence and Computing
A smart watch-based gesture recognition system for assisting people with visual impairments
Proceedings of the 3rd ACM international workshop on Interactive multimedia on mobile & portable devices
Seeing is not believing: visual verifications through liveness analysis using mobile devices
Proceedings of the 29th Annual Computer Security Applications Conference
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This paper presents a gesture recognition system based on continuous hidden Markov models. Gestures here are hand movements which are recorded by a 3D accelerometer embedded in a handheld device. In addition to standard hidden Markov model classifier, the recognition system has a preprocessing step which removes the effect of device orientation from the data. The performance of the recognizer is evaluated in both user dependent and user independent cases. The effects of sample resolution and sampling rate are studied in the user dependent case.