The SmartCane system: an assistive device for geriatrics
BodyNets '08 Proceedings of the ICST 3rd international conference on Body area networks
eCushion: An eTextile Device for Sitting Posture Monitoring
BSN '11 Proceedings of the 2011 International Conference on Body Sensor Networks
BSN '12 Proceedings of the 2012 Ninth International Conference on Wearable and Implantable Body Sensor Networks
Inconspicuous on-bed respiratory rate monitoring
Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments
mCOPD: mobile phone based lung function diagnosis and exercise system for COPD
Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments
See UV on your skin: an ultraviolet sensing and visualization system
BodyNets '13 Proceedings of the 8th International Conference on Body Area Networks
Proper running posture guide: a wearable biomechanics capture system
BodyNets '13 Proceedings of the 8th International Conference on Body Area Networks
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Gait analysis is an important medical diagnostic process and has many applications in rehabilitation, therapy and exercise training. However, standard human gait analysis has to be performed in a specific gait lab and operated by a medical professional. This traditional method increases the examination cost and decreases the accuracy of the natural gait model. In this paper, we present a novel portable system, called Smart Insole, to address the current issues. Smart Insole integrates low cost sensors and computes important gait features. In this way, patients or users can wear Smart Insole for gait analysis in daily life instead of participating in gait lab experiments for hours. With our proposed portable sensing system and effective feature extraction algorithm, the Smart Insole system enables precise gait analysis. Furthermore, taking advantage of the affordability and mobility of Smart Insole, pervasive gait analysis can be extended to many potential applications such as fall prevention, life behavior analysis and networked wireless health systems.