Real-time human ambulation, activity, and physiological monitoring: taxonomy of issues, techniques, applications, challenges and limitations.
作者： Rinat Khusainov , Djamel Azzi , Ifeyinwa Achumba , Sebastian Bersch
DOI: 10.3390/S131012852
关键词: Data collection 、 Data mining 、 Data science 、 Engineering 、 Assisted living 、 Physiological monitoring 、 Monitoring ambulatory 、 Research studies 、 Motor activity
摘要: Automated methods of real-time, unobtrusive, human ambulation, activity, and wellness monitoring data analysis using various algorithmic techniques have been subjects intense research. The general aim is to devise effective means addressing the demands assisted living, rehabilitation, clinical observation assessment through sensor-based monitoring. research studies resulted in a large amount literature. This paper presents holistic articulation offers comprehensive insights along four main axes: distribution existing studies; device framework sensor types; collection, processing analysis; applications, limitations challenges. present systematic most complete study literature area order identify gaps prioritize future directions.
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