Surface electromyography and artificial intelligence for human activity recognition-A systematic review on methods, emerging trends applications, challenges, and …
Human activity recognition (HAR) has become increasingly popular in recent years due to its
potential to meet the growing needs of various industries. Electromyography (EMG) is …
potential to meet the growing needs of various industries. Electromyography (EMG) is …
[HTML][HTML] Human Activity Recognition Using Hybrid Coronavirus Disease Optimization Algorithm for Internet of Medical Things
Background: In our current digital world, smartphones are no longer limited to
communication but are used in various real-world applications. In the healthcare industry …
communication but are used in various real-world applications. In the healthcare industry …
[HTML][HTML] Improving EEG major depression disorder classification using FBSE coupled with domain adaptation method based machine learning algorithms
H Mohammed, M Diykh - Biomedical Signal Processing and Control, 2023 - Elsevier
Major depression disorder (MDD) has become the leading mental disorder worldwide.
Medical reports have shown that people with depression exhibit abnormal wave patterns in …
Medical reports have shown that people with depression exhibit abnormal wave patterns in …
Comprehensive Database for Food-Gut Microbiota-Disease Interactions (FGMDI) Analysis and Dietary Recommendation Applications
H Zhang, J Zhang, L Zhao, B Yu, H Zhang, W Lu, J Zhu - Food Bioscience, 2024 - Elsevier
Regulating gut microbiota through dietary recommendations is crucial in health
management. Traditional approaches for identifying diet–microbe–disease links are often …
management. Traditional approaches for identifying diet–microbe–disease links are often …
Time series modeling and forecasting of epidemic spreading processes using deep transfer learning
Traditional data-driven methods for modeling and predicting epidemic spreading typically
operate in an independent and identically distributed setting. However, epidemic spreading …
operate in an independent and identically distributed setting. However, epidemic spreading …
Activity recognition and IoT-based analysis using time series and CNN
N Beemkumar, S Gupta, S Bhardwaj… - … of Research on …, 2023 - igi-global.com
Using time series data obtained from accelerometer and gyroscope sensors on an iPhone
6s, the authors address the topic of human activity and attribute detection. The collection …
6s, the authors address the topic of human activity and attribute detection. The collection …
Face Recognition of Live-Feed Imagery Using the Viola-Jones Algorithm
MB Savadatti, AS Bale, N Ghorpade… - … on Circuits, Power …, 2023 - ieeexplore.ieee.org
This paper proposes the design, execution and testing of a live facial detection and
recognition system. The system is intended to detect a face from live footage as an …
recognition system. The system is intended to detect a face from live footage as an …
A Robust Approach for Parkinson Disease Detection from Voice Signal
SKD Alkhafaji, S Jalal - International Conference on Health Information …, 2023 - Springer
Parkinson's disease (PD) is a common brain disorder that is associated with slow speech
and difficulty with articulation. Mainly, clinical experts analyse patient's voice to detect PD. In …
and difficulty with articulation. Mainly, clinical experts analyse patient's voice to detect PD. In …