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Title

Walking behavior change detector for a "smart" walker : 6th International conference on Intelligent Human Computer Interaction, IHCI 2014

Authors
Year 2014
Abstract This study investigates the design of a novel real-time system to detect walking behavior changes using an accelerometer on a rollator. No sensor is required on the user. We propose a new non-invasive approach to detect walking behavior based on the motion transfer by the user on the walker. Our method has two main steps; the first is to extract a gait feature vector by analyzing the three-axis accelerometer data in terms of magnitude, gait cycle and frequency. The second is to classify gait with the use of a decision tree of multilayer perceptrons. To assess the performance of our technique, we evaluated different sampling window lengths of 1, 3 an 5 seconds and four different Neural Network architectures. The results revealed that the algorithm can distinguish walking behavior such as normal, slow and fast with an accuracy of about 86%. This research study is part of a project aiming at providing a simple and non-invasive walking behavior detector for elderly who use rollators.
Keywords HCIGait AnalysisWalking BehaviorMobilityAccelerometerElderly careGerontechnologyInterpersonal variability
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Research groups Computer Vision and Multimedia Laboratory
Multimodal Interaction Group
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WEISS VELANDIA, Viviana Lucia et al. Walking behavior change detector for a "smart" walker : 6th International conference on Intelligent Human Computer Interaction, IHCI 2014. [s.l.] : [s.n.], 2014. https://archive-ouverte.unige.ch/unige:74462

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Deposited on : 2015-08-04

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