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Human–machine interaction in intelligent and connected vehicles: A review of status quo, issues, and opportunities
Z Tan, N Dai, Y Su, R Zhang, Y Li… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Human–Machine Interaction (HMI) in Intelligent and Connected Vehicles (ICVs) has drawn
great attention in recent years due to its potentially significant positive impacts on the …
great attention in recent years due to its potentially significant positive impacts on the …
[HTML][HTML] Development and progress in sensors and technologies for human emotion recognition
With the advancement of human-computer interaction, robotics, and especially humanoid
robots, there is an increasing trend for human-to-human communications over online …
robots, there is an increasing trend for human-to-human communications over online …
A survey of ai-based facial emotion recognition: Features, ml & dl techniques, age-wise datasets and future directions
Facial expressions are mirrors of human thoughts and feelings. It provides a wealth of social
cues to the viewer, including the focus of attention, intention, motivation, and emotion. It is …
cues to the viewer, including the focus of attention, intention, motivation, and emotion. It is …
Deep learning and machine learning based facial emotion detection using CNN
SK Singh, RK Thakur, S Kumar… - 2022 9th International …, 2022 - ieeexplore.ieee.org
Human emotions are the psychological conditions of sentiments that are encountered
impulsively which imply the expressions on the face. By using Machine Learning and Deep …
impulsively which imply the expressions on the face. By using Machine Learning and Deep …
Stress detection through electrodermal activity (EDA) and electrocardiogram (ECG) analysis in car drivers
The stress in a driver, happening during unforeseen events or taxing situations, is linked to a
subject's sympathetic system response. We present a system which detects the stress …
subject's sympathetic system response. We present a system which detects the stress …
Emotion recognition of the driver based on KLT algorithm and ShuffleNet V2
Emotional monitoring was essential in the development of sophisticated automobiles with
advanced driver assistance systems (ADAS) to ensure safety and monitor potential collision …
advanced driver assistance systems (ADAS) to ensure safety and monitor potential collision …
An integrated framework for emotion recognition using speech and static images with deep classifier fusion approach
Research on emotion recognition is witnessing an increasing trend in recent years due to
escalation in stress level of humans. Human emotions in most cases are identified through …
escalation in stress level of humans. Human emotions in most cases are identified through …
Car driver's sympathetic reaction detection through electrodermal activity and electrocardiogram measurements
Objective: in this paper we propose a system to detect a subject's sympathetic reaction,
which is related to unexpected or challenging events during a car drive. Methods: we use …
which is related to unexpected or challenging events during a car drive. Methods: we use …
Does keystroke dynamics tell us about emotions? A systematic literature review and dataset construction
There is strong evidence that emotional states affect the Human's performance and decision-
making. Therefore, understanding Human emotions has become of great concern in the field …
making. Therefore, understanding Human emotions has become of great concern in the field …
Facial emotion recognition using machine learning
N Raut - 2018 - scholarworks.sjsu.edu
Face detection has been around for ages. Taking a step forward, human emotion displayed
by face and felt by brain, captured in either video, electric signal (EEG) or image form can be …
by face and felt by brain, captured in either video, electric signal (EEG) or image form can be …