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 …

[HTML][HTML] Development and progress in sensors and technologies for human emotion recognition

S Pal, S Mukhopadhyay, N Suryadevara - Sensors, 2021 - mdpi.com
With the advancement of human-computer interaction, robotics, and especially humanoid
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

C Dalvi, M Rathod, S Patil, S Gite, K Kotecha - Ieee Access, 2021 - ieeexplore.ieee.org
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 …

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 …

Stress detection through electrodermal activity (EDA) and electrocardiogram (ECG) analysis in car drivers

P Zontone, A Affanni, R Bernardini… - 2019 27th European …, 2019 - ieeexplore.ieee.org
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 …

Emotion recognition of the driver based on KLT algorithm and ShuffleNet V2

F Ahmad, U Hariharan, N Muthukumaran, A Ali… - Signal, Image and Video …, 2024 - Springer
Emotional monitoring was essential in the development of sophisticated automobiles with
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

K Jayanthi, S Mohan - International Journal of Information Technology, 2022 - Springer
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 …

Car driver's sympathetic reaction detection through electrodermal activity and electrocardiogram measurements

P Zontone, A Affanni, R Bernardini… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
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 …

Does keystroke dynamics tell us about emotions? A systematic literature review and dataset construction

A Maalej, I Kallel - 2020 16th International Conference on …, 2020 - ieeexplore.ieee.org
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 …

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 …