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647 results on '"Yang, G-Z"'

185. Ambient and Wearable Sensor Fusion for Activity Recognition in Healthcare Monitoring Systems.

Author

Magjarevic, R., Nagel, J. H., Leonhardt, Steffen, Falck, Thomas, Mähönen, Petri, Pansiot, Julien, Stoyanov, Danail, McIlwraith, Douglas, Lo, Benny P.L., and Yang, G. Z.

Abstract

The use of wearable sensors for home monitoring provides an effective means of inferring a patient's level of activity. However, wearable sensors have intrinsic ambiguities that prevent certain activities to be recognized accurately. The purpose of this paper is to introduce a robust framework for enhanced activity recognition by integrating an ear-worn activity recognition (e-AR) sensor with ambient blob-based vision sensors. Accelerometer information from the e-AR is fused with features extracted from the vision sensor by using a Gaussian Mixture Model Bayes classifier. The experimental results showed a significant improvement of the classification accuracy compared to the use of the e-AR sensor alone. [ABSTRACT FROM AUTHOR]

Published
2007
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186. Reflective Photoplethysmograph Earpiece Sensor for Ubiquitous Heart Rate Monitoring.

Author

Magjarevic, R., Nagel, J. H., Leonhardt, Steffen, Falck, Thomas, Mähönen, Petri, Wang, Lei, Lo, B., and Yang, G. Z.

Abstract

This paper addresses the design considerations of a novel earpiece photoplethymograph (PPG) sensor and its in-situ evaluation results. The device is encapsulated with multiple LEDs and photodiodes based on a reflective PPG design. A compact and low power circuitry was developed for signal control and conditioning. PPG signals with an averaged a.c./d.c. ratio of 0.001-0.01 and 10% relative strength (compared to finger-based approach) were recorded from the superior and posterior auricular skins. PPG signal integrity and heart rate detection accuracy were evaluated and the results showed that with adequate optical shielding and motion cancellation, the device could reliably detect heart rate both during rest and moderate exercise. The proposed sensor design is low power, easy to wear compared to conventional earlobe PPG devices. [ABSTRACT FROM AUTHOR]

Published
2007
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187. Behaviour Profiling with Ambient and Wearable Sensing.

Author

Magjarevic, R., Nagel, J. H., Leonhardt, Steffen, Falck, Thomas, Mähönen, Petri, Atallah, Louis, ElHelw, M., Pansiot, J., Stoyanov, D., Wang, L., Lo, B., and Yang, G. Z.

Abstract

This paper investigates the combined use of ambient and wearable sensing for inferring changes in patient behaviour patterns. It has been demonstrated that with the use of wearable and blob based ambient sensors, it is possible to develop an effective visualization framework allowing the observation of daily activities in a homecare environment. An effective behaviour modelling method based on Hidden Markov Models (HMMs) has been proposed for highlighting changes in activity patterns. This allows for the representation of sequences in a similarity space that can be used for clustering or data-exploration. [ABSTRACT FROM AUTHOR]

Published
2007
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197. Epitaxial growth and electric characteristics of SrMoO3 thin films

Author

Wang, H. H., primary, Yang, G. Z., additional, Cui, D. F., additional, Lu, H. B., additional, Zhao, T., additional, Chen, F., additional, Zhou, Y. L., additional, Chen, Z. H., additional, Lan, Y. C., additional, Ding, Y., additional, Chen, L., additional, Chen, X. L., additional, and Liang, J. K., additional

Published
2001
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