Опубликована: Окт. 30, 2024
Язык: Английский
AI & Society, Год журнала: 2023, Номер 39(4), С. 2131 - 2132
Опубликована: Апрель 20, 2023
Язык: Английский
Процитировано
3
2022 IEEE Symposium on Computers and Communications (ISCC), Год журнала: 2023, Номер unknown, С. 1 - 6
Опубликована: Июль 9, 2023
Tele-rehabilitation has recently emerged as an effective approach for providing assisted living, increasing clinical outcomes, positively enhancing patients' Quality of Life (QoL) and fostering their reintegration into society, also pushing down costs. Nowadays, tele-rehabilitation to face two main challenges: motor cognitive rehabilitation. In this paper, we focus on the latter. Our idea is monitor patient's rehabilitation by analysing his/her facial expressions during exercises with objective understand if there a correlation between outcomes. Therefore, aim preliminary study leverage concept Emotional Artificial Intelligence (AI) Facial Expression Recognition (FER) system which uses mesh generated MediaPipe suite libraries train Machine Learning (ML) model in order identify expressions, according Ekman's model, contained inside images or video captured performed at home. particular, different datasets, features maps ML models are tested advancement state art.
Язык: Английский
Процитировано
2
AI and Ethics, Год журнала: 2024, Номер unknown
Опубликована: Сен. 10, 2024
Язык: Английский
Процитировано
0
Autism, Год журнала: 2024, Номер unknown
Опубликована: Сен. 16, 2024
The use of emotion recognition technologies in the workplace is expanding. These claim to provide insights into internal emotional states based on external cues like facial expressions. Despite interconnections between autism and development as reported prior research, little attention has been paid particular issues that arise for autistic individuals when are implemented consequential settings workplace. This article examines recent literature argue risks heightened people. Following a brief overview technologies, this argument made by focusing through deployment technologies. Issues related include fundamental problems with science behind underrepresentation data sets increasing representation, annotation training implementation invasive nature sensitivity used, imposition neurotypical norms workers their use. closes call future research implications these emergent individuals. Lay abstract Technologies using artificial intelligence recognize people’s increasingly being developed under name Emotion identify data, despite providing counterevidence founded bad it not possible correctly emotions way. widespread, they can be harmful used workplace, especially workers. Although previous shown origins relied people, there impact people Through review academic studies, looks at processes show how may disadvantaged or harmed more perception impact, involvement from diverse participants.
Язык: Английский
Процитировано
0
Опубликована: Окт. 30, 2024
Язык: Английский
Процитировано
0