IoT and Edge Computing as a Tool for Bowel Activity Monitoring

2018 ◽  
pp. 133-144 ◽  
Author(s):  
Umit Deniz Ulusar ◽  
Erdinc Turk ◽  
Ahmet Sefa Oztas ◽  
Alp Erkan Savli ◽  
Guner Ogunc ◽  
...  
Keyword(s):  
Activity Monitoring ◽  
Edge Computing

Ambulatory Activity Monitoring

2009 ◽  
Vol 14 (2) ◽  
pp. 142-152 ◽  
Author(s):  
Johannes B.J. Bussmann ◽  
Ulrich W. Ebner-Priemer ◽  
Jochen Fahrenberg
Keyword(s):  
Physical Activity ◽  
Activity Monitoring ◽  
Main Stream ◽  
Computer Algorithms ◽  
Ambulatory Activity ◽  
Physiological Variables ◽  
Piezoresistive Sensors ◽  
Self Reports ◽  
Recent Developments ◽  
Objectively Measured

Behavior is central to psychology in almost any definition. Although observable activity is a core aspect of behavior, assessment strategies have tended to focus on emotional, cognitive, or physiological responses. When physical activity is assessed, it is done so mostly with questionnaires. Converging evidence of only a moderate association between self-reports of physical activity and objectively measured physical activity does raise questions about the validity of these self-reports. Ambulatory activity monitoring, defined as the measurement strategy to assess physical activity, posture, and movement patterns continuously in everyday life, has made major advances over the last decade and has considerable potential for further application in the assessment of observable activity, a core aspect of behavior. With new piezoresistive sensors and advanced computer algorithms, the objective measurement of physical activity, posture, and movement is much more easily achieved and measurement precision has improved tremendously. With this overview, we introduce to the reader some recent developments in ambulatory activity monitoring. We will elucidate the discrepancies between objective and subjective reports of activity, outline recent methodological developments, and offer the reader a framework for developing insight into the state of the art in ambulatory activity-monitoring technology, discuss methodological aspects of time-based design and psychometric properties, and demonstrate recent applications. Although not yet main stream, ambulatory activity monitoring – especially in combination with the simultaneous assessment of emotions, mood, or physiological variables – provides a comprehensive methodology for psychology because of its suitability for explaining behavior in context.

Smart Community Edge: Stream Processing Edge Computing Node for Smart Community Services

2020 ◽  
Vol 140 (9) ◽  
pp. 1030-1039
Author(s):  
W.A. Shanaka P. Abeysiriwardhana ◽  
Janaka L. Wijekoon ◽  
Hiroaki Nishi
Keyword(s):  
Stream Processing ◽  
Community Services ◽  
Edge Computing ◽  
Computing Node ◽  
Smart Community

Load Balancing for Energy-Harvesting Mobile Edge Computing

2021 ◽  
Vol E104.A (1) ◽  
pp. 336-342
Author(s):  
Ping ZHAO ◽  
Jiawei TAO ◽  
Abdul RAUF ◽  
Fengde JIA ◽  
Longting XU
Keyword(s):  
Energy Harvesting ◽  
Load Balancing ◽  
Edge Computing ◽  
Mobile Edge Computing

Dynamic Service Placement and Load Distribution in Edge Computing

2020 ◽  
Author(s):  
Adyson Magalhaes Maia ◽  
Yacine Ghamri-Doudane ◽  
Dario Vieira ◽  
Miguel Franklin de Castro
Keyword(s):  
Load Distribution ◽  
Edge Computing ◽  
Service Placement

Mobile Edge Computing Review and Analysis

2019 ◽  
Vol 7 (1) ◽  
pp. 525-532
Author(s):  
Komal Kharbanda ◽  
Kiranbir Kaur
Keyword(s):  
Edge Computing ◽  
Mobile Edge Computing
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