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 …

Designing wearable systems for sports: a review of trends and opportunities in human–computer interaction

E Mencarini, A Rapp, L Tirabeni… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper presents a literature review of human-computer interaction works on wearable
systems for sports. We selected a corpus of 57 papers and analyzed them through the …

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 …

Decoach: Deep learning-based coaching for badminton player assessment

I Ghosh, SR Ramamurthy, A Chakma, N Roy - Pervasive and Mobile …, 2022 - Elsevier
Wearable devices have gained immense popularity among various pervasive computing
and Internet-of-Things (IoT) applications in the past decade. Sports analytics researchers …

IoT for next-generation racket sports training

Y Wang, M Chen, X Wang… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
We propose an Internet of Things (IoT) framework for next-generation racket sports training.
To validate its performance, a wireless wearable sensing device (WSD) based on …

Ensemble residual network-based gender and activity recognition method with signals

T Tuncer, F Ertam, S Dogan, E Aydemir… - The Journal of …, 2020 - Springer
Nowadays, deep learning is one of the popular research areas of the computer sciences,
and many deep networks have been proposed to solve artificial intelligence and machine …

Emotion-relevant activity recognition based on smart cushion using multi-sensor fusion

R Gravina, Q Li - Information Fusion, 2019 - Elsevier
More and more common activities are leading to a sedentary lifestyle forcing us to sit several
hours every day. In-seat actions contain significant hidden information, which not only …

Wearable sport activity classification based on deep convolutional neural network

YL Hsu, HC Chang, YJ Chiu - IEEE Access, 2019 - ieeexplore.ieee.org
This paper develops a wearable sport activity classification system and its associated deep
learning-based sport activity classification algorithm for accurately recognizing sport …

Wearable motion sensor based analysis of swing sports

A Anand, M Sharma, R Srivastava… - 2017 16th IEEE …, 2017 - ieeexplore.ieee.org
Recent trends show that wearable devices with embedded motion sensors are being utilized
for enriching user experience in health and fitness by tracking an individual's physical …

Robust human activity recognition using single accelerometer via wavelet energy spectrum features and ensemble feature selection

Y Tian, J Zhang, J Wang, Y Geng… - Systems Science & …, 2020 - Taylor & Francis
Wearable sensor-based human activity recognition has been widely used in many fields.
Considering that a multi-sensor based recognition system is not suitable for practical …