Predicting livestock behaviour using accelerometers: A systematic review of processing techniques for ruminant behaviour prediction from raw accelerometer data
Precision Technologies are emerging in the context of livestock farming to improve
management practices and the health and welfare of livestock through monitoring individual …
management practices and the health and welfare of livestock through monitoring individual …
A survey on wearable sensor modality centred human activity recognition in health care
Increased life expectancy coupled with declining birth rates is leading to an aging
population structure. Aging-caused changes, such as physical or cognitive decline, could …
population structure. Aging-caused changes, such as physical or cognitive decline, could …
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 …
Human activity recognition using inertial sensors in a smartphone: An overview
The ubiquity of smartphones and the growth of computing resources, such as connectivity,
processing, portability, and power of sensing, have greatly changed people's lives. Today …
processing, portability, and power of sensing, have greatly changed people's lives. Today …
Design, implementation and validation of a novel open framework for agile development of mobile health applications
The delivery of healthcare services has experienced tremendous changes during the last
years. Mobile health or mHealth is a key engine of advance in the forefront of this revolution …
years. Mobile health or mHealth is a key engine of advance in the forefront of this revolution …
A survey on unsupervised learning for wearable sensor-based activity recognition
Abstract Human Activity Recognition (HAR) is an essential task in various applications such
as pervasive healthcare, smart environment, and security and surveillance. The need to …
as pervasive healthcare, smart environment, and security and surveillance. The need to …
Human activity recognition and embedded application based on convolutional neural network
Y Xu, TT Qiu - Journal of Artificial Intelligence and Technology, 2021 - ojs.istp-press.com
With the improvement of people's living standards, the demand for health monitoring and
exercise detection is increasing. It is of great significance to study human activity recognition …
exercise detection is increasing. It is of great significance to study human activity recognition …
DanHAR: Dual attention network for multimodal human activity recognition using wearable sensors
In the paper, we present a new dual attention method called DanHAR, which blends
channel and temporal attention on residual networks to improve feature representation …
channel and temporal attention on residual networks to improve feature representation …
A comparative study on human activity recognition using inertial sensors in a smartphone
A Wang, G Chen, J Yang, S Zhao… - IEEE Sensors …, 2016 - ieeexplore.ieee.org
Activity recognition plays an essential role in bridging the gap between the low-level sensor
data and the high-level applications in ambient-assisted living systems. With the aim to …
data and the high-level applications in ambient-assisted living systems. With the aim to …