Classifying human emotions in HRI: applying global optimization model to EEG brain signals

M Staffa, L D'Errico, S Sansalone… - Frontiers in …, 2023 - frontiersin.org
Significant efforts have been made in the past decade to humanize both the form and
function of social robots to increase their acceptance among humans. To this end, social …

[HTML][HTML] User affect elicitation with a socially emotional robot

M Shao, M Snyder, G Nejat, B Benhabib - Robotics, 2020 - mdpi.com
To effectively communicate with people, social robots must be capable of detecting,
interpreting, and responding to human affect during human–robot interactions (HRIs). In …

EEG-based machine learning models for emotion recognition in HRI

M Staffa, L D'Errico - International Conference on Human-Computer …, 2023 - Springer
This work attempts to provide a measure of the human affective state employing the analysis
of electroencephalographic (EEG) activity to accurately identify the psychological state of the …

[PDF][PDF] Evaluating the effect of music intervention on hypertension

VM Shankar, B Geethanjali, M Veezhinathan… - Current …, 2020 - academia.edu
The relevance of music in medical applications has been a subject of research for a long
time. In the present study we evaluate the response of music interventions (Indian classical …

An Affect-aware Socially Assistive Robot for Exercise Facilitation

M Shao - 2020 - search.proquest.com
Older adults generally engage in less physical activities than other age groups, which can
increase the risk of develo** diseases associated with aging. It is increasingly difficult for …