The Identification and Classification of Facial Expressions under Stress using an EMG

Ene, Corina Daniela; Adochiei, Ioana Raluca; Enache, Cristina-Daniela; Voicila, Teodor-Iulian; Voiculescu, D

doi:10.1109/ehb52898.2021.9657559

Cited by 2 publications

(1 citation statement)

References 13 publications

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“…For example, Lima and the other two researchers concluded that four features extracted from EMG signals, namely RMS, MAV, IEMG, and VAR, showed better variations in the emotions studied (anger, joy, happiness, and sadness) [21]. Another study emphasized the contribution of affective identification to provide individuals with medical conditions like stroke or facial nerve damage the opportunity to express emotions [39]. However, this research has not directly linked to mental health management or therapy for older adults.…”

Section: Affective Identification and Expressionmentioning

confidence: 98%

Electromyography Acquisition and Intervention in Healthcare for Older Adults: A HCI Scoping Review

Dai,

Wang,

Yao

et al. 2024

Frontiers in Artificial Intelligence and Applications

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As age advances, the decline in bodily functions and the rise in age-related diseases pose various challenges to the daily lives of the older population. This scoping review discusses the potential of Electromyography and Electrical Stimulation technologies in addressing aging health issues. This review aims to discover potential design opportunities for EMG and ES technologies in promoting healthy aging by searching for answers from the diverse research purposes, target groups and human-computer interactions involved in the 42 selected articles. Through the thematic analysis, we discovered six categories of applications and four core design themes. Based on our findings, a map has been illustrated to provide visual guidelines for future research and design practice. To enhance the overall health and quality of life for older adults, it would be beneficial to concentrate on three interdependent aspects: independent at home, active outdoors, and mental well-being.

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Section: Affective Identification and Expressionmentioning

confidence: 98%