Now showing items 1-5 of 5
A Knowledge-Driven Approach to Activity Recognition in Smart Homes
This paper introduces a knowledge-driven approach to real-time, continuous activity recognition based on multisensor data streams in smart homes. The approach goes beyond the traditional data-centric methods for activity ...
Sensor-Based Activity Recognition
Research on sensor-based activity recognition has, recently, made significant progress and is attracting growing attention in a number of disciplines and application domains. However, there is a lack of high-level overview ...
A Generic Framework for Constraint-Driven Data Selection in Mobile Crowd Photographing
(IEEE Internet of Things Journal, 2017-01-05)
Mobile crowd photographing (MCP) is an emerging area of interest for researchers as the built-in cameras of mobile devices are becoming one of the commonly used visual logging approaches in our daily lives. In order to ...
Wearable accelerometer based extended sleep position recognition
Sleep positions have an impact on sleep quality and therefore need to be further analyzed. Current research on position tracking includes only the four basic positions. In the context of wearable devices, energy efficiency ...
The creation of simulated activity datasets using a graphical intelligent environment simulation tool
The availability of datasets capturing the performance of activities of daily living is limited by difficulties associated with the collection of such data. Software solutions can mitigate these limitations, providing ...