Machine learning in medical applications: A review of state-of-the-art methods
Applications of machine learning (ML) methods have been used extensively to solve various
complex challenges in recent years in various application areas, such as medical, financial …
complex challenges in recent years in various application areas, such as medical, financial …
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 …
Review of wearable devices and data collection considerations for connected health
V Vijayan, JP Connolly, J Condell, N McKelvey… - Sensors, 2021 - mdpi.com
Wearable sensor technology has gradually extended its usability into a wide range of well-
known applications. Wearable sensors can typically assess and quantify the wearer's …
known applications. Wearable sensors can typically assess and quantify the wearer's …
A review of multimodal human activity recognition with special emphasis on classification, applications, challenges and future directions
Human activity recognition (HAR) is one of the most important and challenging problems in
the computer vision. It has critical application in wide variety of tasks including gaming …
the computer vision. It has critical application in wide variety of tasks including gaming …
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 …
Automated cognitive health assessment in smart homes using machine learning
AR Javed, LG Fahad, AA Farhan, S Abbas… - Sustainable Cities and …, 2021 - Elsevier
Abstract The Internet of Things (IoT) provides smart solutions for future urban communities to
address key benefits with the least human intercession. A smart home offers the necessary …
address key benefits with the least human intercession. A smart home offers the necessary …
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 …
Context-aware computing, learning, and big data in internet of things: a survey
Internet of Things (IoT) has been growing rapidly due to recent advancements in
communications and sensor technologies. Meanwhile, with this revolutionary transformation …
communications and sensor technologies. Meanwhile, with this revolutionary transformation …
Daily activity feature selection in smart homes based on pearson correlation coefficient
Y Liu, Y Mu, K Chen, Y Li, J Guo - Neural processing letters, 2020 - Springer
In the case of a smart home, the ability to recognize daily activities depends primarily on the
strategy used for selecting the appropriate features related to these activities. To achieve the …
strategy used for selecting the appropriate features related to these activities. To achieve the …
A survey on activity detection and classification using wearable sensors
Activity detection and classification are very important for autonomous monitoring of humans
for applications, including assistive living, rehabilitation, and surveillance. Wearable sensors …
for applications, including assistive living, rehabilitation, and surveillance. Wearable sensors …