Real-Time Human Ambulation, Activity, and Physiological Monitoring: Taxonomy of Issues, Techniques, Applications, Challenges and Limitations
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, a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2013-09-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/13/10/12852 |
| _version_ | 1798026929425612800 |
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| author | Rinat Khusainov Djamel Azzi Ifeyinwa E. Achumba Sebastian D. Bersch |
| author_facet | Rinat Khusainov Djamel Azzi Ifeyinwa E. Achumba Sebastian D. Bersch |
| author_sort | Rinat Khusainov |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T18:43:02Z |
| format | Article |
| id | doaj.art-832b11e98c7746ae9dcd4b1370400861 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T18:43:02Z |
| publishDate | 2013-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-832b11e98c7746ae9dcd4b13704008612022-12-22T04:08:55ZengMDPI AGSensors1424-82202013-09-011310128521290210.3390/s131012852Real-Time Human Ambulation, Activity, and Physiological Monitoring: Taxonomy of Issues, Techniques, Applications, Challenges and LimitationsRinat KhusainovDjamel AzziIfeyinwa E. AchumbaSebastian D. BerschAutomated 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.http://www.mdpi.com/1424-8220/13/10/12852sensor-based monitoringsensor placementmonitoring device frameworkdata collection and processinggait assessment/fall risk estimation |
| spellingShingle | Rinat Khusainov Djamel Azzi Ifeyinwa E. Achumba Sebastian D. Bersch Real-Time Human Ambulation, Activity, and Physiological Monitoring: Taxonomy of Issues, Techniques, Applications, Challenges and Limitations Sensors sensor-based monitoring sensor placement monitoring device framework data collection and processing gait assessment/fall risk estimation |
| title | Real-Time Human Ambulation, Activity, and Physiological Monitoring: Taxonomy of Issues, Techniques, Applications, Challenges and Limitations |
| title_full | Real-Time Human Ambulation, Activity, and Physiological Monitoring: Taxonomy of Issues, Techniques, Applications, Challenges and Limitations |
| title_fullStr | Real-Time Human Ambulation, Activity, and Physiological Monitoring: Taxonomy of Issues, Techniques, Applications, Challenges and Limitations |
| title_full_unstemmed | Real-Time Human Ambulation, Activity, and Physiological Monitoring: Taxonomy of Issues, Techniques, Applications, Challenges and Limitations |
| title_short | Real-Time Human Ambulation, Activity, and Physiological Monitoring: Taxonomy of Issues, Techniques, Applications, Challenges and Limitations |
| title_sort | real time human ambulation activity and physiological monitoring taxonomy of issues techniques applications challenges and limitations |
| topic | sensor-based monitoring sensor placement monitoring device framework data collection and processing gait assessment/fall risk estimation |
| url | http://www.mdpi.com/1424-8220/13/10/12852 |
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