Learning hierarchical time series data augmentation invariances via contrastive supervision for human activity recognition
Human activity recognition (HAR) using wearable sensors is always a research hotspot in
ubiquitous computing scenario, in which feature learning has played a crucial role. Recent …
ubiquitous computing scenario, in which feature learning has played a crucial role. Recent …
Open Data Sets in Human Activity Recognition Research-Issues and Challenges: A Review
Huge amounts of data are generated with the emergence of new sensor technologies.
Human activity recognition (HAR) datasets are generated from cameras, such as video or …
Human activity recognition (HAR) datasets are generated from cameras, such as video or …
[HTML][HTML] Deep learning models for real-life human activity recognition from smartphone sensor data
Nowadays, the field of human activity recognition (HAR) is a remarkably hot topic within the
scientific community. Given the low cost, ease of use and high accuracy of the sensors from …
scientific community. Given the low cost, ease of use and high accuracy of the sensors from …
Biosensor-driven IoT wearables for accurate body motion tracking and localization
The domain of human locomotion identification through smartphone sensors is witnessing
rapid expansion within the realm of research. This domain boasts significant potential across …
rapid expansion within the realm of research. This domain boasts significant potential across …
[HTML][HTML] CIR-DFENet: Incorporating cross-modal image representation and dual-stream feature enhanced network for activity recognition
Human activity recognition (HAR) based on wearable sensors has been widely used in
various fields such as health monitoring, healthcare, and fitness due to its portability …
various fields such as health monitoring, healthcare, and fitness due to its portability …
In-depth analysis of design & development for sensor-based human activity recognition system
Abstract Human Activity Recognition (HAR) has gained much attention since sensor
technology has become more advanced and cost-effective. HAR is a process of identifying …
technology has become more advanced and cost-effective. HAR is a process of identifying …
[HTML][HTML] Enhancing human activity recognition using features reduction in iot edge and azure cloud
Abstract The Internet of Things (IoT), cloud computing, and machine learning opened an
opportunity for new smart systems. These technologies have triggered huge traffic and delay …
opportunity for new smart systems. These technologies have triggered huge traffic and delay …
A wearable inertial sensor approach for locomotion and localization recognition on physical activity
Advancements in sensing technology have expanded the capabilities of both wearable
devices and smartphones, which are now commonly equipped with inertial sensors such as …
devices and smartphones, which are now commonly equipped with inertial sensors such as …
A novel hybrid deep learning approach with GWO–WOA optimization technique for human activity recognition
Abstract The effectiveness of Human Activity Recognition (HAR) models can be largely
attributed to the components derived from domain expertise. The classification system swiftly …
attributed to the components derived from domain expertise. The classification system swiftly …
Incorporating image representation and texture feature for sensor-based gymnastics activity recognition
Sensor-based gymnastics activity recognition has been a hot topic in recent years. Accurate
gymnastics activity recognition plays a crucial role in monitoring athlete performance and …
gymnastics activity recognition plays a crucial role in monitoring athlete performance and …