Deep learning for sensor-based human activity recognition: Overview, challenges, and opportunities
The vast proliferation of sensor devices and Internet of Things enables the applications of
sensor-based activity recognition. However, there exist substantial challenges that could …
sensor-based activity recognition. However, there exist substantial challenges that could …
Smart watches: A review of evolution in bio-medical sector
Smartwatch (SW) is a wearable gadget used in everyday life. It is equivalent to a customary
wristwatch and offers features similar to a smartphone. These features include access to the …
wristwatch and offers features similar to a smartphone. These features include access to the …
A scalable and transferable federated learning system for classifying healthcare sensor data
With the development of Internet of Medical Things, massive healthcare sensor data (HSD)
are transmitted in the Internet, which faces various security problems. Healthcare data are …
are transmitted in the Internet, which faces various security problems. Healthcare data are …
Multi-sensor human activity recognition using CNN and GRU
In the current era of rapid technological innovation, human activity recognition (HAR) has
emerged as a principal research area in the field of multimedia information retrieval. The …
emerged as a principal research area in the field of multimedia information retrieval. The …
Cnns for heart rate estimation and human activity recognition in wrist worn sensing applications
E Brophy, W Muehlhausen… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
Wrist-worn smart devices are providing increased insights into human health, behaviour and
performance through sophisticated analytics. However, battery life, device cost and sensor …
performance through sophisticated analytics. However, battery life, device cost and sensor …
Detecting deepfake videos using euler video magnification
R Das, G Negi, AF Smeaton - arXiv preprint arXiv:2101.11563, 2021 - arxiv.org
Recent advances in artificial intelligence make it progressively hard to distinguish between
genuine and counterfeit media, especially images and videos. One recent development is …
genuine and counterfeit media, especially images and videos. One recent development is …
High accuracy human activity recognition using machine learning and wearable devices' raw signals
A Papaleonidas, AP Psathas… - Journal of Information and …, 2022 - Taylor & Francis
Human activity recognition (HAR) is vital in a wide range of real-life applications such as
health monitoring of olderly people, abnormal behaviour detection and smart home …
health monitoring of olderly people, abnormal behaviour detection and smart home …
Optimised convolutional neural networks for heart rate estimation and human activity recognition in wrist worn sensing applications
Wrist-worn smart devices are providing increased insights into human health, behaviour and
performance through sophisticated analytics. However, battery life, device cost and sensor …
performance through sophisticated analytics. However, battery life, device cost and sensor …
Machine learning modeling of human activity using PPG signals
The use of wearables is contributing towards the decrease of risk for chronic diseases
related to cardiovascular or diabetes problems. Most wearables measure heart rate and the …
related to cardiovascular or diabetes problems. Most wearables measure heart rate and the …
Hierarchical deep learning model with inertial and physiological sensors fusion for wearable-based human activity recognition
This paper presents a human activity recognition (HAR) system with wearable devices.
While various approaches have been suggested for HAR, most of them focus on either 1) …
While various approaches have been suggested for HAR, most of them focus on either 1) …