Wearable wireless sensor network for human limbs monitoring

This paper presents a novel idea to monitor human limb movement using a wearable wireless sensor network. The system configuration comprises of a mobile node, four anchors, one coordinator, one data transmission module and PC for signal processing. Modelling after the trilateration technique, the se...

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主要作者: Tang, Wei Guang
其他作者: Soh Cheong Boon
格式: Final Year Project
語言:English
出版: 2016
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在線閱讀:http://hdl.handle.net/10356/68361
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spelling sg-ntu-dr.10356-683612023-07-07T15:53:49Z Wearable wireless sensor network for human limbs monitoring Tang, Wei Guang Soh Cheong Boon School of Electrical and Electronic Engineering DRNTU::Engineering This paper presents a novel idea to monitor human limb movement using a wearable wireless sensor network. The system configuration comprises of a mobile node, four anchors, one coordinator, one data transmission module and PC for signal processing. Modelling after the trilateration technique, the sensor network utilizes an ultrasonic transmitter to send out ultrasound signals to the four ultrasonic receivers on a planar plane to compute the positioning information between them. A highly sensitive pre-filter and Extended Kalman Filter are employed to determine the location of the mobile node along with the displacement information in the 3D Cartesian coordinate system. This proposed method of measurement can be a viable alternative to the current optical tracking system as it is cost-effective with low complexity involved. It harnesses the potential for longer monitoring duration to obtain accurate displacement information of the mobile node and can be useful for clinical assessment. Moreover, the positioning information can be extracted and combined with various modelling techniques like the inverse kinematic model for further analysis. Bachelor of Engineering 2016-05-25T07:38:10Z 2016-05-25T07:38:10Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/68361 en Nanyang Technological University 79 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering
spellingShingle DRNTU::Engineering
Tang, Wei Guang
Wearable wireless sensor network for human limbs monitoring
description This paper presents a novel idea to monitor human limb movement using a wearable wireless sensor network. The system configuration comprises of a mobile node, four anchors, one coordinator, one data transmission module and PC for signal processing. Modelling after the trilateration technique, the sensor network utilizes an ultrasonic transmitter to send out ultrasound signals to the four ultrasonic receivers on a planar plane to compute the positioning information between them. A highly sensitive pre-filter and Extended Kalman Filter are employed to determine the location of the mobile node along with the displacement information in the 3D Cartesian coordinate system. This proposed method of measurement can be a viable alternative to the current optical tracking system as it is cost-effective with low complexity involved. It harnesses the potential for longer monitoring duration to obtain accurate displacement information of the mobile node and can be useful for clinical assessment. Moreover, the positioning information can be extracted and combined with various modelling techniques like the inverse kinematic model for further analysis.
author2 Soh Cheong Boon
author_facet Soh Cheong Boon
Tang, Wei Guang
format Final Year Project
author Tang, Wei Guang
author_sort Tang, Wei Guang
title Wearable wireless sensor network for human limbs monitoring
title_short Wearable wireless sensor network for human limbs monitoring
title_full Wearable wireless sensor network for human limbs monitoring
title_fullStr Wearable wireless sensor network for human limbs monitoring
title_full_unstemmed Wearable wireless sensor network for human limbs monitoring
title_sort wearable wireless sensor network for human limbs monitoring
publishDate 2016
url http://hdl.handle.net/10356/68361
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