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

Sensors

Rinat Khusainov²  Djamel Azzi²  Ifeyinwa E. Achumba¹ 

[1] School of Engineering, Faculty of Technology, University of Portsmouth, Anglesea Building, Anglesea Road, Portsmouth PO1 3DJ, UK;

关键词: sensor-based monitoring;    sensor placement;    monitoring device framework;    data collection and processing;    gait assessment/fall risk estimation;   

DOI  :  10.3390/s131012852

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland.