Now showing items 1-6 of 6
Real-Time Sensor Observation Segmentation For Complex Activity Recognition Within Smart Environments
Activity Recognition (AR) is at the heart of any types of assistive living systems. One of the key challenges faced in AR is segmentation of the sensor events when inhabitant performs simple or composite activities of daily ...
A semantics-based approach to sensor data segmentation in real-time Activity Recognition
Activity Recognition (AR) is key in context-aware assistive living systems. One challenge in AR is the segmentation of observed sensor events when interleaved or concurrent activities of daily living (ADLs) are performed. ...
Reality and Perception: Activity monitoring and data collection within a real-world smart home
Smart home technologies have been developing rapidly in the last few years. However, there is still a lack of annotated rich datasets that can be used for different analysis purposes by researchers. The motivation for ...
Towards a Service-oriented Architecture for a Mobile Assistive System with Real-time Environmental Sensing
(Tsinghua University Press, 2016)
With the growing aging population, age-related diseases have increased considerably over the years. In response to these, ambient assistive living (AAL) systems are being developed and are continually evolving to enrich ...
Towards a Mobile Assistive System Using Service-Oriented Architecture
As the aging population grows, age-related diseases show a cohesive increase. Ambient Assistive Living (AAL) systems are being developed and are continually evolving in various areas. While most researchers focus on robust ...
Semantic segmentation of real-time sensor data stream for complex activity recognition
Data segmentation plays a critical role in performing human activity recognition in the ambient assistant living systems. It is particularly important for complex activity recognition when the events occur in short bursts ...