Emotion recognition for healthcare surveillance systems using neural networks: A survey

M Dhuheir, A Albaseer, E Baccour… - 2021 International …, 2021 - ieeexplore.ieee.org
Recognizing the patient's emotions using deep learning techniques has attracted significant
attention recently due to technological advancements. Automatically identifying the emotions …

[PDF][PDF] Predicting quality of life based on mental health state: A machine learning approach using Urban-HEART 2

H Sadeghi, M Gharib… - Adv Med Psychol …, 2024 - ampphealthjournal-network.org
Abstract Introduction: Quality of life (QoL) is a complex and multifaceted concept often used
as an indicator in evaluating public policy. This study aimed to predict QoL based on mental …

Multimodal QOL Estimation During Human–Robot Interaction

S Nakagawa, Y Kuniyoshi - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Accurately assessing the Quality of Life (QOL) of the older adults is crucial for personalizing
interactions with assistive robots and advancing welfare initiatives through Information and …

Impact of QOL-Based Robot Counseling on Older Adults' QOL Improvement

S Nakagawa, K Naruse, R Endo… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
This study aimed to develop a counseling robot to improve the quality of life (QOL) of older
adults and verify its effectiveness. QOL is a comprehensive indicator that includes physical …

Construction and Evaluation of QOL Specialized Dictionary SqolDic Using Vocabulary Meaning and QOL Scale

S Nakagawa, H Minlie, Y Kuniyoshi - Electronics, 2021 - mdpi.com
Agents that build interactive relationships with people can provide appropriate support and
generate behaviors by accurately grasping the state of the person. This study focuses on the …