Human Body Posture Classification by a Neural Fuzzy Network and Home Care System Application
- 29 October 2007
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans
- Vol. 37 (6), 984-994
- https://doi.org/10.1109/tsmca.2007.897609
Abstract
A new classification approach for human body postures based on a neural fuzzy network is proposed in this paper, and the approach is applied to detect emergencies that are caused by accidental falls. Four main body postures are used for posture classification, including standing, bending, sitting, and lying. After the human body is segmented from the background, the classification features are extracted from the silhouette. The body silhouette is projected onto horizontal and vertical axes, and then, a discrete Fourier transform is applied to each projected histogram. Magnitudes of significant Fourier transform coefficients together with the silhouette length-width ratio are used as features. The classifier is designed by a neural fuzzy network. The four postures can be classified with high accuracy according to experimental results. Classification results are also applicable to home care emergency detection of a person who suddenly falls and remains in the lying posture for a period of time due to experiments that were performed.Keywords
This publication has 18 references indexed in Scilit:
- A Recurrent Fuzzy Network for Fuzzy Temporal Sequence Processing and Gesture RecognitionIEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2005
- A practical adaptive approach for dynamic background subtraction using an invariant colour model and object trackingPattern Recognition Letters, 2005
- Probabilistic Posture Classification for Human-Behavior AnalysisIEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 2004
- Real-time human motion analysis by image skeletonizationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Efficient moving object segmentation algorithm using background registration techniqueIEEE Transactions on Circuits and Systems for Video Technology, 2002
- Special issue on video communications, processing, and understanding for third generation surveillance systemsProceedings of the IEEE, 2001
- W/sup 4/: real-time surveillance of people and their activitiesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2000
- Real-time American sign language recognition using desk and wearable computer based videoIEEE Transactions on Pattern Analysis and Machine Intelligence, 1998
- An online self-constructing neural fuzzy inference network and its applicationsIEEE Transactions on Fuzzy Systems, 1998
- A state-based approach to the representation and recognition of gestureIEEE Transactions on Pattern Analysis and Machine Intelligence, 1997