Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions
Activity detection and classification using different sensor modalities have emerged as
revolutionary technology for real-time and autonomous monitoring in behaviour analysis …
revolutionary technology for real-time and autonomous monitoring in behaviour analysis …
Multi-sensor fusion based on multiple classifier systems for human activity identification
Multimodal sensors in healthcare applications have been increasingly researched because
it facilitates automatic and comprehensive monitoring of human behaviors, high-intensity …
it facilitates automatic and comprehensive monitoring of human behaviors, high-intensity …
Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges
This paper firstly introduces common wearable sensors, smart wearable devices and the key
application areas. Since multi-sensor is defined by the presence of more than one model or …
application areas. Since multi-sensor is defined by the presence of more than one model or …
Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges
Human activity recognition systems are developed as part of a framework to enable
continuous monitoring of human behaviours in the area of ambient assisted living, sports …
continuous monitoring of human behaviours in the area of ambient assisted living, sports …
Human activity recognition from multiple sensors data using multi-fusion representations and CNNs
With the emerging interest in the ubiquitous sensing field, it has become possible to build
assistive technologies for persons during their daily life activities to provide personalized …
assistive technologies for persons during their daily life activities to provide personalized …
Multi-sensor fusion for activity recognition—A survey
In Ambient Intelligence (AmI), the activity a user is engaged in is an essential part of the
context, so its recognition is of paramount importance for applications in areas like sports …
context, so its recognition is of paramount importance for applications in areas like sports …
An overview of data fusion techniques for Internet of Things enabled physical activity recognition and measure
Due to importantly beneficial effects on physical and mental health and strong association
with many rehabilitation programs, Physical Activity Recognition and Measure (PARM) has …
with many rehabilitation programs, Physical Activity Recognition and Measure (PARM) has …
Bi-LSTM network for multimodal continuous human activity recognition and fall detection
This paper presents a framework based on multilayer bi-LSTM network (bidirectional Long
Short-Term Memory) for multimodal sensor fusion to sense and classify daily activities' …
Short-Term Memory) for multimodal sensor fusion to sense and classify daily activities' …
Multi-level feature fusion for multimodal human activity recognition in Internet of Healthcare Things
Abstract Human Activity Recognition (HAR) has become a crucial element for smart
healthcare applications due to the fast adoption of wearable sensors and mobile …
healthcare applications due to the fast adoption of wearable sensors and mobile …
Wearable multi-sensor data fusion approach for human activity recognition using machine learning algorithms
B Vidya, P Sasikumar - Sensors and Actuators A: Physical, 2022 - Elsevier
Wearable sensor based human activity recognition (HAR) has a broad range of applications
in healthcare, fitness, smart home, and surveillance. In spite of the substantial amount of …
in healthcare, fitness, smart home, and surveillance. In spite of the substantial amount of …