Human Computer Interface Application for Emotion Detection Using Facial Recognition

Kanna, R. Kishore; Surendhar, Prasath Alias; Rubi, Jaya; Jyothi, G.; Ambikapathy, A.; Vasuki, R.

doi:10.1109/ccet56606.2022.10080678

Cited by 30 publications

(1 citation statement)

References 14 publications

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“…This multidisciplinary field draws on principles from psychology, computer science, and neuroscience to develop systems capable of discerning and responding to human emotional states (Zhang, 2016). The primary goal is to enable machines, such as computers or robots, to comprehend and appropriately react to the emotional cues exhibited by humans, enhancing the overall quality and naturalness of human-machine interactions (Kanna et al, 2022).…”

Section: Emotion Recognitionmentioning

confidence: 99%

Emotion Recognition in Psychology of Human-robot Interaction

Zhao

2023

Psychomachina

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The field of Human-Robot Interaction (HRI) has garnered significant attention in recent years, with researchers and practitioners seeking to understand the psychological aspects underlying the interactions between humans and robots. One crucial area of focus within HRI is the psychology of emotion recognition, which plays a fundamental role in shaping the dynamics of human-robot interaction. This paper provides an overview of the background of psychology in the context of human-robot interaction, emphasizing the significance of understanding human emotions in this domain. The concept of emotion recognition, a key component of human psychology, is explored in detail, highlighting its relevance in the context of human-robot interaction. Emotion recognition allows robots to perceive and interpret human emotions, enabling them to respond appropriately and enhance the quality of interaction. The role of emotion recognition in HRI is examined from a psychological standpoint, shedding light on its implications for the design and development of effective human-robot interfaces. Furthermore, this paper delves into the application of machine learning techniques for emotion recognition in the context of human-robot interaction. Machine learning algorithms have shown promise in enabling robots to recognize and respond to human emotions, thereby contributing to more natural and intuitive interactions. The utilization of machine learning in emotion recognition reflects the intersection of psychology and technological advancements in the field of HRI. Finally, the challenges associated with emotion recognition in HRI are discussed, encompassing issues such as cross-cultural variations in emotional expression, individual differences, and the ethical implications of emotion detection. Addressing these challenges is pivotal in advancing the understanding and implementation of emotion recognition in human-robot interaction, underscoring the interdisciplinary nature of this endeavor. In conclusion, this paper underscores the critical role of emotion recognition in the psychology of human-robot interaction, emphasizing its potential to revolutionize the way humans and robots engage with each other. By integrating insights from psychology, machine learning, and technology, advancements in emotion recognition have the potential to pave the way for more empathetic and responsive human-robot interactions, offering new avenues for research and practical applications in this burgeoning field.

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Section: Emotion Recognitionmentioning

confidence: 99%