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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 …
[HTML][HTML] Ambient assisted living: sco** review of artificial intelligence models, domains, technology, and concerns
Background Ambient assisted living (AAL) is a common name for various artificial
intelligence (AI)—infused applications and platforms that support their users in need in …
intelligence (AI)—infused applications and platforms that support their users in need in …
Semisupervised human activity recognition with radar micro-Doppler signatures
Human activity recognition (HAR) plays a vital role in many applications, such as
surveillance, in-home monitoring, and health care. Portable radar sensor has been …
surveillance, in-home monitoring, and health care. Portable radar sensor has been …
Activity recognition and anomaly detection in smart homes
Physical and cognitive impairments decline the ability of elderly in execution of daily
activities, such as eating, slee** or taking medication. The proposed approach recognizes …
activities, such as eating, slee** or taking medication. The proposed approach recognizes …
Human activity classification using Decision Tree and Naive Bayes classifiers
With rapid development in wireless sensor networks and continuous improvements in
develo** artificial intelligence-based scientific solutions, the concept of ambient assisted …
develo** artificial intelligence-based scientific solutions, the concept of ambient assisted …
Elderly fall detection with vital signs monitoring using CW Doppler radar
K Hanifi, ME Karsligil - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Falling is the main cause of disability and fatality of elderly. In this work we used a 24 GHz
continuous-wave Doppler radar to develop a low price and a highly accurate fall detection …
continuous-wave Doppler radar to develop a low price and a highly accurate fall detection …
Graphene-based metasurface refractive index biosensor for hemoglobin detection: Machine learning assisted optimization
Machine learning is the latest approach to optimize the performance of absorbers, sensors,
etc. A sensor with behavior prediction using polynomial regression is presented. Three …
etc. A sensor with behavior prediction using polynomial regression is presented. Three …
A review of wearable sensors based fall-related recognition systems
J Liu, X Li, S Huang, R Chao, Z Cao, S Wang… - … Applications of Artificial …, 2023 - Elsevier
Falls are an important factor in significantly deteriorating quality of life of older adults,
consequently leading to both physical and psychological harm. A wearable-based fall …
consequently leading to both physical and psychological harm. A wearable-based fall …
In-home older adults' activity pattern monitoring using depth sensors: A review
The global population is aging due to many factors, including longer life expectancy through
better healthcare, changing diet, physical activity, etc. We are also witnessing various …
better healthcare, changing diet, physical activity, etc. We are also witnessing various …
AI-powered trustable and explainable fall detection system using transfer learning
Accidental falls pose a significant public health challenge, especially among vulnerable
populations. To address this issue, comprehensive research on fall detection and rescue …
populations. To address this issue, comprehensive research on fall detection and rescue …