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 …

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 …

Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions

HF Nweke, YW Teh, G Mujtaba, MA Al-Garadi - Information Fusion, 2019 - Elsevier
Activity detection and classification using different sensor modalities have emerged as
revolutionary technology for real-time and autonomous monitoring in behaviour analysis …

A framework for collaborative computing and multi-sensor data fusion in body sensor networks

G Fortino, S Galzarano, R Gravina, W Li - Information Fusion, 2015 - Elsevier
Abstract Body Sensor Networks (BSNs) have emerged as the most effective technology
enabling not only new e-Health methods and systems but also novel applications in human …

[PDF][PDF] Body sensor network–a wireless sensor platform for pervasive healthcare monitoring

BPL Lo, S Thiemjarus, R King, GZ Yang - 2005 - csis.pace.edu
With recent advances in wireless sensor networks and embedded computing technologies,
miniaturized pervasive health monitoring devices have become practically feasible. In …

A survey of body sensor networks

X Lai, Q Liu, X Wei, W Wang, G Zhou, G Han - Sensors, 2013 - mdpi.com
The technology of sensor, pervasive computing, and intelligent information processing is
widely used in Body Sensor Networks (BSNs), which are a branch of wireless sensor …

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 …

Wearable body sensor networks: state-of-the-art and research directions

R Gravina, G Fortino - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
The term Body Sensor Network (BSN) was introduced less than twenty years ago. Since
then, tremendous technical development and social changes attracted researchers from …

Self-adaptive data collection and fusion for health monitoring based on body sensor networks

C Habib, A Makhoul, R Darazi… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
In the past few years, wireless body sensor networks (WBSNs) emerged as a low-cost
solution for healthcare applications. In WBSNs, biosensors collect periodically physiological …

Human activity recognition from multiple sensors data using multi-fusion representations and CNNs

FM Noori, M Riegler, MZ Uddin, J Torresen - ACM Transactions on …, 2020 - dl.acm.org
With the emerging interest in the ubiquitous sensing field, it has become possible to build
assistive technologies for persons during their daily life activities to provide personalized …