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 …

A comprehensive review of wireless body area network

K Hasan, K Biswas, K Ahmed, NS Nafi… - Journal of Network and …, 2019 - Elsevier
Recent development and advancement of information and communication technologies
facilitate people in different dimensions of life. Most importantly, in the healthcare industry …

Gait analysis using wearable sensors

W Tao, T Liu, R Zheng, H Feng - Sensors, 2012 - mdpi.com
Gait analysis using wearable sensors is an inexpensive, convenient, and efficient manner of
providing useful information for multiple health-related applications. As a clinical tool applied …

Activity recognition using inertial sensing for healthcare, wellbeing and sports applications: A survey

A Avci, S Bosch, M Marin-Perianu… - … on architecture of …, 2010 - ieeexplore.ieee.org
This paper surveys the current research directions of activity recognition using inertial
sensors, with potential application in healthcare, wellbeing and sports. The analysis of …

Sports analytics review: Artificial intelligence applications, emerging technologies, and algorithmic perspective

I Ghosh, S Ramasamy Ramamurthy… - … : Data Mining and …, 2023 - Wiley Online Library
The rapid and impromptu interest in the coupling of machine learning (ML) algorithms with
wearable and contactless sensors aimed at tackling real‐world problems warrants a …

An IoT-based computational framework for healthcare monitoring in mobile environments

H Mora, D Gil, R Munoz Terol, J Azorín, J Szymanski - Sensors, 2017 - mdpi.com
The new Internet of Things paradigm allows for small devices with sensing, processing and
communication capabilities to be designed, which enable the development of sensors …

MultiSenseBadminton: Wearable Sensor–Based Biomechanical Dataset for Evaluation of Badminton Performance

M Seong, G Kim, D Yeo, Y Kang, H Yang, J DelPreto… - Scientific Data, 2024 - nature.com
The sports industry is witnessing an increasing trend of utilizing multiple synchronized
sensors for player data collection, enabling personalized training systems with multi …

A practical evaluation of information processing and abstraction techniques for the internet of things

F Ganz, D Puschmann, P Barnaghi… - IEEE Internet of Things …, 2015 - ieeexplore.ieee.org
The term Internet of Things (IoT) refers to the interaction and communication between
billions of devices that produce and exchange data related to real-world objects (ie things) …

Machine learning for wearable IoT‐based applications: A survey

F Al‐Turjman, I Baali - Transactions on Emerging …, 2022 - Wiley Online Library
This paper gives an overview about applying machine learning (ML) in wearable Wireless
Body Area Network (WBAN). It highlights the main challenges and open issues for deploying …

Toward automatic activity classification and movement assessment during a sports training session

A Ahmadi, E Mitchell, C Richter… - IEEE Internet of …, 2014 - ieeexplore.ieee.org
Motion analysis technologies have been widely used to monitor the potential for injury and
enhance athlete performance. However, most of these technologies are expensive, can only …