Internet of Things Embedded System for Emotion Recognition

Rozanska, Agnieszka; Rachwaniec-Szczecińska, Żaneta; Kawala-Janik, Aleksandra; Podpora, Michał

doi:10.1109/healthcom.2018.8531100

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B Non-contact Emotion Recognition1

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Cited by 6 publications

(2 citation statements)

References 27 publications

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“…However, the proposed method still requires further enhancement for more accuracy as well as to take video inputs into account as opposed to only images. Some researchers [23] on the other hand state that while facial recognition is of particular importance in non-verbal communication, it is a mistake to focus solely on the face for emotion recognition.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Emotion Recognition Techniques for Geriatric Users: A Snapshot

Mughal

Raffe

García

2020

2020 IEEE 8th International Conference on Serious Games and Applications for Health (SeGAH)

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Section: Discussionmentioning

confidence: 99%

“…1) Facial Recognition: As a potential improvement, Rozanska et al [23] propose an embedded system that implements various emotion recognition methods in an Internet of Things (IoT) device for remote emotion detection. Their proposed system consisted of a robot device with computer vision camera.…”

Section: B Non-contact Emotion Recognitionmentioning

confidence: 99%