Daily activity feature selection in smart homes based on pearson correlation coefficient
Y Liu, Y Mu, K Chen, Y Li, J Guo - Neural processing letters, 2020 - Springer
In the case of a smart home, the ability to recognize daily activities depends primarily on the
strategy used for selecting the appropriate features related to these activities. To achieve the …
strategy used for selecting the appropriate features related to these activities. To achieve the …
A review of the recent developments in integrating machine learning models with sensor devices in the smart buildings sector with a view to attaining enhanced …
Lately, many scientists have focused their research on subjects like smart buildings, sensor
devices, virtual sensing, buildings management, Internet of Things (IoT), artificial intelligence …
devices, virtual sensing, buildings management, Internet of Things (IoT), artificial intelligence …
Timely daily activity recognition from headmost sensor events
Smart homes are designed to promote safe and comfortable living for inhabitants without
any manual intervention. The performance of approaches for daily activity recognition is …
any manual intervention. The performance of approaches for daily activity recognition is …
Toward explainable AI-empowered cognitive health assessment
AR Javed, HU Khan, MKB Alomari… - Frontiers in Public …, 2023 - frontiersin.org
Explainable artificial intelligence (XAI) is of paramount importance to various domains,
including healthcare, fitness, skill assessment, and personal assistants, to understand and …
including healthcare, fitness, skill assessment, and personal assistants, to understand and …
Opportunistic sensing for inferring in-the-wild human contexts based on activity pattern recognition using smart computing
M Ehatisham-ul-Haq, MA Azam - Future Generation Computer Systems, 2020 - Elsevier
In recent years, with the evolution of internet-of-things and smart sensing technologies,
sensor-based physical activity recognition has gained substantial prominence, and …
sensor-based physical activity recognition has gained substantial prominence, and …
Recognition of daily activities of two residents in a smart home based on time clustering
J Guo, Y Li, M Hou, S Han, J Ren - Sensors, 2020 - mdpi.com
With the development of population aging, the recognition of elderly activity in smart homes
has received increasing attention. In recent years, single-resident activity recognition based …
has received increasing attention. In recent years, single-resident activity recognition based …
Daily living activity recognition in-the-wild: Modeling and inferring activity-aware human contexts
Advancement in smart sensing and computing technologies has provided a dynamic
opportunity to develop intelligent systems for human activity monitoring and thus assisted …
opportunity to develop intelligent systems for human activity monitoring and thus assisted …
MAG-Res2Net: A novel deep learning network for human activity recognition
Objective. Human activity recognition (HAR) has become increasingly important in
healthcare, sports, and fitness domains due to its wide range of applications. However …
healthcare, sports, and fitness domains due to its wide range of applications. However …
Toward privacy-preserving healthcare monitoring based on time-series activities over cloud
The thriving of the Internet of Things (IoT) has become the enabler of smart eHealthcare,
which greatly benefits patients by providing various data-driven healthcare monitoring …
which greatly benefits patients by providing various data-driven healthcare monitoring …
Key feature identification for recognition of activities performed by a smart-home resident
Activity recognition is beneficial for continuous health monitoring of smart-home residents,
such as patients and elderly people, living in the privacy of their home. We propose an …
such as patients and elderly people, living in the privacy of their home. We propose an …