A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
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 (author) / Mukhopadhyay, Subhas Chandra (author)
2017-01-01
23 pages
Article/Chapter (Book)
Electronic Resource
English
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
| Online Contents | 2008