Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges

S Qiu, H Zhao, N Jiang, Z Wang, L Liu, Y An, H Zhao… - Information …, 2022 - Elsevier
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 …

[HTML][HTML] Ambient assisted living: sco** review of artificial intelligence models, domains, technology, and concerns

M Jovanovic, G Mitrov, E Zdravevski, P Lameski… - Journal of Medical …, 2022 - jmir.org
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 …

Semisupervised human activity recognition with radar micro-Doppler signatures

X Li, Y He, F Fioranelli, X **g - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …

Activity recognition and anomaly detection in smart homes

LG Fahad, SF Tahir - Neurocomputing, 2021 - Elsevier
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 …

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 …

Human activity classification using Decision Tree and Naïve Bayes classifiers

K Maswadi, NA Ghani, S Hamid… - Multimedia Tools and …, 2021 - Springer
With rapid development in wireless sensor networks and continuous improvements in
develo** artificial intelligence-based scientific solutions, the concept of ambient assisted …

Video-based fall detection using human pose and constrained generative adversarial network

L Wu, C Huang, L Fei, S Zhao, J Zhao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Falls are a major health threat for older people. A timely assistance can reduce the extent of
physical injury caused by the falls. Currently, low-cost and convenient video surveillance …

Graphene-based metasurface refractive index biosensor for hemoglobin detection: machine learning assisted optimization

SK Patel, J Surve, J Parmar… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …

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 …

Applications of existing and emerging construction safety technologies

O Maali, CH Ko, PHD Nguyen - Automation in Construction, 2024 - Elsevier
Safety is one of the most important success factors in construction projects. Many advanced
technologies, such as Artificial Intelligence, construction robotics, and digital technologies …