S Ranasinghe, F Al Machot… - International Journal of …, 2016 - journals.sagepub.com
Activity recognition systems are a large field of research and development, currently with a focus on advanced machine learning algorithms, innovations in the field of hardware …
Designing an activity recognition system that models various activities of an occupant is the fundamental task in creating a smart home. Activity Recognition (AR) modeling, has …
Movement dataset reviews exist but are limited in coverage, both in terms of size and research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …
The Sweet-Home project aims at providing audio-based interaction technology that lets the user have full control over their home environment, at detecting distress situations and at …
T Tsukiyama - Procedia Computer Science, 2015 - Elsevier
In this paper we propose a sensor-based monitoring system that evaluates the health status of solitary elderly based on daily living activities, and provides forecasts of emergency …
Ambient Assisted Living aims at enhancing the quality of life of older and disabled people at home thanks to Smart Homes and Home Automation. However, many studies do not include …
Statistics reveal that globally, the aging population in different stages of dementia are struggling to cope with daily activities and are progressively becoming dependent on care …
C Zhang, X Ren, T Zhu, F Zhou, H Liu, Q Lu… - Knowledge-Based …, 2022 - Elsevier
Indoor activity recognition is essential in numerous Internet of Things (IoT) applications. As one of the widely used methods in this domain, Markov Logic Network (MLN) can …
Power systems are the most complicated networks that play a crucial role in daily lifestyles. To operate such systems in a stable condition, several control and protection strategies are …