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

By Raffaele Gravina, Parastoo Alinia, Hassan Ghasemzadeh, Giancarlo Fortino. Information Fusion, 2017

836 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/f2e12e3d0ce53fb0e0e5f592830d03c7de2a672b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Didier Stricker
2. Emanuele Ruffaldi
3. Alessandro Filippeschi
4. Norbert Schmitz
5. Gabriele Bleser
6. Markus Miezal
7. Mehmet Rasit Yuce

In Computer Networks and Communications

1. Didier Stricker
2. Mohsen Guizani

In Computer Vision and Pattern Recognition

1. Didier Stricker
2. Mohsen Guizani

Citations in the corpus

• Survey of Motion Tracking Methods Based on Inertial Sensors: A Focus on Upper Limb Human Motion (2017, background): “In a recent review paper [23], Gravina et al.”
• Privacy in the Internet of Things for Smart Healthcare (2018, background): “With the rapid development of wearable biosensors and wireless communication technologies, various smart healthcare systems such as wireless medical sensor networks (MSNs) are proposed to monitor the health of patients in real time [1].”
• An Autonomous Wireless Body Area Network Implementation Towards IoT Connected Healthcare Applications (2017, background): “WBAN, also known as body sensor network (BSN), is a wireless network to enable the health monitoring anywhere anytime around the human body [6], [7].”
• Multi-sensor data fusion based on the belief divergence measure of evidences and the belief entropy (2019, background): “Hence, multi-sensor data fusion technologies are widely applied in many fi elds of real applications [19,20].”