Human emotion recognition: Review of sensors and methods
Automated emotion recognition (AEE) is an important issue in various fields of activities
which use human emotional reactions as a signal for marketing, technical equipment, or …
which use human emotional reactions as a signal for marketing, technical equipment, or …
Wheelchair control for disabled patients using EMG/EOG based human machine interface: a review
A Kaur - Journal of medical engineering & technology, 2021 - Taylor & Francis
The human-machine interface (HMI) and bio-signals have been used to control
rehabilitation equipment and improve the lives of people with severe disabilities. This …
rehabilitation equipment and improve the lives of people with severe disabilities. This …
[HTML][HTML] A systematic review on emotion recognition system using physiological signals: data acquisition and methodology
Emotion recognition systems (ERS) have become a popular research field to contribute to
human-machine interaction in different areas. Different kinds of applications on ERS can …
human-machine interaction in different areas. Different kinds of applications on ERS can …
Human–machine interface: multiclass classification by machine learning on 1D EOG Signals for the Control of an Omnidirectional Robot
FD Pérez-Reynoso, L Rodríguez-Guerrero… - Sensors, 2021 - mdpi.com
People with severe disabilities require assistance to perform their routine activities; a Human–
Machine Interface (HMI) will allow them to activate devices that respond according to their …
Machine Interface (HMI) will allow them to activate devices that respond according to their …
Brain–computer interface for amyotrophic lateral sclerosis patients using deep learning network
J Ramakrishnan, D Mavaluru, RS Sakthivel… - Neural Computing and …, 2022 - Springer
Abstract Individuals with Motor Neuron Disease were unable to move from one place to
another because it gradually reduced all the voluntarily movement due to the degeneration …
another because it gradually reduced all the voluntarily movement due to the degeneration …
A custom EOG-based HMI using neural network modeling to real-time for the trajectory tracking of a manipulator robot
FD Perez Reynoso, PA Niño Suarez… - Frontiers in …, 2020 - frontiersin.org
Although different physiological signals, such as electrooculography (EOG) have been
widely used in the control of assistance systems for people with disabilities, customizing the …
widely used in the control of assistance systems for people with disabilities, customizing the …
[PDF][PDF] Lung cancer detection and classification on CT scan images using enhanced artificial bee colony optimization
S Perumal, T Velmurugan - Int J Eng Technol, 2018 - academia.edu
In recent years, prediction of cancer at earlier stages is obligatory to increase the chance of
survival of the afflicted. The most dreadful type is lung cancer, which is identified as one of …
survival of the afflicted. The most dreadful type is lung cancer, which is identified as one of …
Signal identification system for developing rehabilitative device using deep learning algorithms
W Tang, A Wang, S Ramkumar, RKR Nair - Artificial intelligence in medicine, 2020 - Elsevier
Paralyzed patients were increasing day by day. Some of the neurodegenerative diseases
like amyotrophic lateral sclerosis, Brainstem Leison, Stupor and Muscular dystrophy affect …
like amyotrophic lateral sclerosis, Brainstem Leison, Stupor and Muscular dystrophy affect …
[PDF][PDF] Analyzing student performance using evolutionary artificial neural network algorithm
AS Arunachalam, T Velmurugan - International Journal of …, 2018 - academia.edu
Abstract Educational Data Mining (EDM) and Learning Systematic (LS) research have
appeared as motivating areas of research, which are clarifying beneficial understanding …
appeared as motivating areas of research, which are clarifying beneficial understanding …
Smart data mining algorithm for intelligent education
S Wang - Journal of Intelligent & Fuzzy Systems, 2019 - content.iospress.com
Smart education is one of the main applications of Smart cities which requires artificial
intelligence-based models during the education process. Optimizing the educational …
intelligence-based models during the education process. Optimizing the educational …