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 …
[HTML][HTML] Examining sensor-based physical activity recognition and monitoring for healthcare using Internet of Things: A systematic review
Due to importantly beneficial effects on physical and mental health and strong association
with many rehabilitation programs, Physical Activity Recognition and Monitoring (PARM) …
with many rehabilitation programs, Physical Activity Recognition and Monitoring (PARM) …
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 …
A hybrid hierarchical framework for gym physical activity recognition and measurement using wearable sensors
Due to the many beneficial effects on physical and mental health and strong association with
many fitness and rehabilitation programs, physical activity (PA) recognition has been …
many fitness and rehabilitation programs, physical activity (PA) recognition has been …
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 …
Human activity recognition with accelerometer and gyroscope: A data fusion approach
M Webber, RF Rojas - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
This paper compares the three levels of data fusion with the goal of determining the optimal
level of data fusion for multi-sensor human activity data. Using the data processing pipeline …
level of data fusion for multi-sensor human activity data. Using the data processing pipeline …
Physical activity recognition with statistical-deep fusion model using multiple sensory data for smart health
Nowadays, enhancing the living standard with smart healthcare via the Internet of Things is
one of the most critical goals of smart cities, in which artificial intelligence plays as the core …
one of the most critical goals of smart cities, in which artificial intelligence plays as the core …
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 …
Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges
Abstract Body Sensor Networks (BSNs) have emerged as a revolutionary technology in
many application domains in health-care, fitness, smart cities, and many other compelling …
many application domains in health-care, fitness, smart cities, and many other compelling …
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 …