Internet of things (IoT) based activity recognition strategies in smart homes: a review
A smart home, which is an extension of a traditional home, is equipped with ubiquitous
sensors embedded in consumer appliances, connected via sensing technologies such as …
sensors embedded in consumer appliances, connected via sensing technologies such as …
Multi-user activity recognition: Challenges and opportunities
Human activity recognition has attracted enormous research interest thanks to its
fundamental importance in several domains spanning from health-care to security, safety …
fundamental importance in several domains spanning from health-care to security, safety …
Multi-label classification based ensemble learning for human activity recognition in smart home
In recent times with advancements in wireless sensor technologies, human activity
recognition in smart home environments have gained significant interest amongst the …
recognition in smart home environments have gained significant interest amongst the …
Human activity recognition using binary sensors: A systematic review
Human activity recognition (HAR) is an emerging area of study and research field that
explores the development of automated systems to identify and categorize human activities …
explores the development of automated systems to identify and categorize human activities …
Human activity recognition with an HMM-based generative model
Human activity recognition (HAR) has become an interesting topic in healthcare. This
application is important in various domains, such as health monitoring, supporting elders …
application is important in various domains, such as health monitoring, supporting elders …
Transformer with bidirectional GRU for nonintrusive, sensor-based activity recognition in a multiresident environment
Several techniques for human activity recognition (HAR) in a smart indoor environment have
been developed and improved along with the rapid advancement of sensor technologies …
been developed and improved along with the rapid advancement of sensor technologies …
Sequential neural networks for multi-resident activity recognition in ambient sensing smart homes
Advances in smart home technology and IoT devices had made us capable of monitoring
human activities in a non-intrusive way. This data, in turn, enables us to predict the health …
human activities in a non-intrusive way. This data, in turn, enables us to predict the health …
Fully connected generative adversarial network for human activity recognition
Conditional Generative Adversarial Networks (CGAN) have shown great promise in
generating synthetic data for sensor-based activity recognition. However, one key issue …
generating synthetic data for sensor-based activity recognition. However, one key issue …
Exploring raw data transformations on inertial sensor data to model user expertise when learning psychomotor skills
This paper introduces a novel approach for leveraging inertial data to discern expertise
levels in motor skill execution, specifically distinguishing between experts and beginners. By …
levels in motor skill execution, specifically distinguishing between experts and beginners. By …
MICAR: multi-inhabitant context-aware activity recognition in home environments
The sensor-based recognition of Activities of Daily Living (ADLs) in smart-home
environments enables several important applications, including the continuous monitoring of …
environments enables several important applications, including the continuous monitoring of …