Machine learning based anomaly detection for smart shirt: A systematic review
EC Nunes - arXiv preprint arXiv:2203.03300, 2022 - arxiv.org
In recent years, the popularity and use of Artificial Intelligence (AI) and large investments on
theInternet of Medical Things (IoMT) will be common to use products such as smart socks …
theInternet of Medical Things (IoMT) will be common to use products such as smart socks …
Real-time risk assessment detection for weak people by parallel training logical execution of a supervised learning system based on an iot wearable mems …
Activity monitoring has become a necessary demand for weak people to guarantee their
safety. The paper proposed a Parallel Training Logical Execution (PTLE) system using …
safety. The paper proposed a Parallel Training Logical Execution (PTLE) system using …
Sports activity recognition with UWB and inertial sensors using deep learning approach
I Pajak, P Krutz, J Patalas-Maliszewska… - … conference on fuzzy …, 2022 - ieeexplore.ieee.org
Nowadays the sensor-based human activity recognition is a key issue in the field of the
physical exercises' recognition. The purpose of this paper is to recognise exercise sports …
physical exercises' recognition. The purpose of this paper is to recognise exercise sports …
[HTML][HTML] Time-Series Representation Feature Refinement with a Learnable Masking Augmentation Framework in Contrastive Learning
In this study, we propose a novel framework for time-series representation learning that
integrates a learnable masking-augmentation strategy into a contrastive learning framework …
integrates a learnable masking-augmentation strategy into a contrastive learning framework …
[PDF][PDF] Combined CNN-LSTM Deep Learning Algorithms for Recognizing Human Physical Activities in Large and Distributed Manners: A Recommendation System
A Ellouze, N Kadri, A Alaerjan… - Computers, Materials & …, 2024 - researchgate.net
Recognizing human activity (HAR) from data in a smartphone sensor plays an important role
in the field of health to prevent chronic diseases. Daily and weekly physical activities are …
in the field of health to prevent chronic diseases. Daily and weekly physical activities are …
Inductive parallel learning for multiple classification problems
W Borek, P Ksieniewicz - 2022 International Joint Conference …, 2022 - ieeexplore.ieee.org
The default approach to the construction of pattern recognition models solving supervised
learning problems is fitting the knowledge representation to the samples of a single problem …
learning problems is fitting the knowledge representation to the samples of a single problem …
Application of deep convolution network algorithm in sports video hot spot detection
Y Zhang, H Tang, F Zereg, D Xu - Frontiers in Neurorobotics, 2022 - frontiersin.org
Sports videos are blowing up over the internet with enriching material life and the higher
pursuit of spiritual life of people. Thus, automatically identifying and detecting helpful …
pursuit of spiritual life of people. Thus, automatically identifying and detecting helpful …
Anomaly Detection Using Smart Shirt and Machine Learning: A Systematic
In recent years, the popularity and use of Artificial Intelligence (AI) and significant
investments in the Internet of Medical Things (IoMT) will be common for products such as …
investments in the Internet of Medical Things (IoMT) will be common for products such as …
Anomaly Detection Using Smart Shirt and Machine Learning: A Systematic Review
In recent years, the popularity and use of Artificial Intelligence (AI) and significant
investments in the Internet of Medical Things (IoMT) will be common for products such as …
investments in the Internet of Medical Things (IoMT) will be common for products such as …