Activity Detection and Wellness Pattern Generation

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.