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Real-Time Human Ambulation, Activity, and Physiological Monitoring: Taxonomy of Issues, Techniques, Applications, Challenges and Limitations

School of Engineering, Faculty of Technology, University of Portsmouth, Anglesea Building, Anglesea Road, Portsmouth PO1 3DJ, UK
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Sensors 2013, 13(10), 12852-12902; https://doi.org/10.3390/s131012852
Received: 19 July 2013 / Revised: 2 September 2013 / Accepted: 10 September 2013 / Published: 25 September 2013
(This article belongs to the Collection Sensors for Globalized Healthy Living and Wellbeing)
Automated methods of real-time, unobtrusive, human ambulation, activity, and wellness monitoring and data analysis using various algorithmic techniques have been subjects of intense research. The general aim is to devise effective means of addressing the demands of assisted living, rehabilitation, and clinical observation and assessment through sensor-based monitoring. The research studies have resulted in a large amount of literature. This paper presents a holistic articulation of the research studies and offers comprehensive insights along four main axes: distribution of existing studies; monitoring device framework and sensor types; data collection, processing and analysis; and applications, limitations and challenges. The aim is to present a systematic and most complete study of literature in the area in order to identify research gaps and prioritize future research directions. View Full-Text
Keywords: sensor-based monitoring; sensor placement; monitoring device framework; data collection and processing; gait assessment/fall risk estimation sensor-based monitoring; sensor placement; monitoring device framework; data collection and processing; gait assessment/fall risk estimation
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MDPI and ACS Style

Khusainov, R.; Azzi, D.; Achumba, I.E.; Bersch, S.D. Real-Time Human Ambulation, Activity, and Physiological Monitoring: Taxonomy of Issues, Techniques, Applications, Challenges and Limitations. Sensors 2013, 13, 12852-12902. https://doi.org/10.3390/s131012852

AMA Style

Khusainov R, Azzi D, Achumba IE, Bersch SD. Real-Time Human Ambulation, Activity, and Physiological Monitoring: Taxonomy of Issues, Techniques, Applications, Challenges and Limitations. Sensors. 2013; 13(10):12852-12902. https://doi.org/10.3390/s131012852

Chicago/Turabian Style

Khusainov, Rinat, Djamel Azzi, Ifeyinwa E. Achumba, and Sebastian D. Bersch 2013. "Real-Time Human Ambulation, Activity, and Physiological Monitoring: Taxonomy of Issues, Techniques, Applications, Challenges and Limitations" Sensors 13, no. 10: 12852-12902. https://doi.org/10.3390/s131012852

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