Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Activity Detection and Wellness Pattern Generation
Abstract This chapter presents a novel near real-time sensor segmentation approach that incorporates the notions of the sensor, location, and time correlation. The major objectives and contribution of this research study are: dynamic sensor event segmentation for real-time activity recognition; dataset collection and variety; and Machine Learning algorithms. The rest of the chapter includes the classification of activities, development of wellness belief and wellness function to pattern generation. In the end, the web-based results of wellness system have been shown.
Activity Detection and Wellness Pattern Generation
Abstract This chapter presents a novel near real-time sensor segmentation approach that incorporates the notions of the sensor, location, and time correlation. The major objectives and contribution of this research study are: dynamic sensor event segmentation for real-time activity recognition; dataset collection and variety; and Machine Learning algorithms. The rest of the chapter includes the classification of activities, development of wellness belief and wellness function to pattern generation. In the end, the web-based results of wellness system have been shown.
Activity Detection and Wellness Pattern Generation
Ghayvat, Hemant (Autor:in) / Mukhopadhyay, Subhas Chandra (Autor:in)
01.01.2017
23 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Activity Recognition , Wellness Belief , Sensor Activation , Wellness Belief Model , Smart Home Engineering , Electronics and Microelectronics, Instrumentation , Measurement Science and Instrumentation , Data Mining and Knowledge Discovery , Biomedical Engineering , Monitoring/Environmental Analysis
Wellness Pattern Generation and Forecasting
| Springer Verlag | 2017
| Online Contents | 2013
Online Contents | 2012
Online Contents | 2011
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