Wearables and the Internet of Things (IoT), applications, opportunities, and challenges: A Survey

FJ Dian, R Vahidnia, A Rahmati - IEEE access, 2020 - ieeexplore.ieee.org
Smart wearables collect and analyze data, and in some scenarios make a smart decision
and provide a response to the user and are finding more and more applications in our daily …

Wearable sensors for real-time kinematics analysis in sports: A review

M Rana, V Mittal - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Wearable Inertial sensors have revolutionised the way kinematics analysis is performed in
sports. This paper aims to present a comprehensive review of the literature related to the use …

A survey on wearable sensor modality centred human activity recognition in health care

Y Wang, S Cang, H Yu - Expert Systems with Applications, 2019 - Elsevier
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 …

Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges

R Gravina, P Alinia, H Ghasemzadeh, G Fortino - Information Fusion, 2017 - Elsevier
Abstract Body Sensor Networks (BSNs) have emerged as a revolutionary technology in
many application domains in health-care, fitness, smart cities, and many other compelling …

Advanced internet of things for personalised healthcare systems: A survey

J Qi, P Yang, G Min, O Amft, F Dong, L Xu - Pervasive and mobile …, 2017 - Elsevier
As a new revolution of the Internet, Internet of Things (IoT) is rapidly gaining ground as a
new research topic in many academic and industrial disciplines, especially in healthcare …

A multi-sensor data fusion enabled ensemble approach for medical data from body sensor networks

M Muzammal, R Talat, AH Sodhro, S Pirbhulal - Information Fusion, 2020 - Elsevier
Abstract Wireless Body Sensor Network (BSNs) are wearable sensors with varying sensing,
storage, computation, and transmission capabilities. When data is obtained from multiple …

[HTML][HTML] Biocompatible and long-term monitoring strategies of wearable, ingestible and implantable biosensors: reform the next generation healthcare

T Lu, S Ji, W Jin, Q Yang, Q Luo, TL Ren - Sensors, 2023 - mdpi.com
Sensors enable the detection of physiological indicators and pathological markers to assist
in the diagnosis, treatment, and long-term monitoring of diseases, in addition to playing an …

[HTML][HTML] Examining sensor-based physical activity recognition and monitoring for healthcare using Internet of Things: A systematic review

J Qi, P Yang, A Waraich, Z Deng, Y Zhao… - Journal of biomedical …, 2018 - Elsevier
Due to importantly beneficial effects on physical and mental health and strong association
with many rehabilitation programs, Physical Activity Recognition and Monitoring (PARM) …

Multilevel information fusion for induction motor fault diagnosis

J Wang, P Fu, L Zhang, RX Gao… - IEEE/ASME Transactions …, 2019 - ieeexplore.ieee.org
Condition monitoring and fault diagnosis are of significance to improve the safety and
reliability of motors, given their widespread applications in virtually every branch of the …

An overview of data fusion techniques for Internet of Things enabled physical activity recognition and measure

J Qi, P Yang, L Newcombe, X Peng, Y Yang, Z Zhao - Information Fusion, 2020 - Elsevier
Due to importantly beneficial effects on physical and mental health and strong association
with many rehabilitation programs, Physical Activity Recognition and Measure (PARM) has …