Emotion and Engagement Detection Using Behavioral Inputs: Gesture and Touch Interaction Data

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Author(s): R. Velmurugan (Karpagam Academy of Higher Education, Coimbatore, India), J. Sudarvel (Karpagam Academy of Higher Education, Coimbatore, India), R. Bhuvaneswari (Dr. Mahalingam College of Engineering and Technology, Pollachi, India)and Ravi Thirumalaisamy (Modern College of Business and Science, Oman)
Copyright: 2026
Pages: 28
Source title: Practical Applications of Smart Human-Computer Interaction
Source Author(s)/Editor(s): Subrata Tikadar (Amity University, Kolkata, India), Joel José Puga Coelho Rodrigues (Federal University of Piauí, Brazil), Rabi Shaw (Dr. B.R. Ambedkar National Institute of Technology, India), Ahdi Hassan (Global Institute for Research Education and Scholarship, The Netherlands)and Bidyut Kumar Patra (Indian Institute of Technology, India)
DOI: 10.4018/979-8-3373-6385-1.ch002

Keywords: Engineering Science Reference / Human-Computer Interaction / Social Sciences & Humanities

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Abstract

Natural behaviors for expressing emotion are utilized in gesture and touch for emotion detection, in real time, and reshaping human computer interaction. System can dynamically adapt because deep learning and multimodal fusion are advanced, and experiences in education, gaming, healthcare and customer service benefit. One of the challenges however remains with their variability in the culture and privacy concern. These technologies of ethical AI, federated learning and edge computing are bringing more emotional intelligence, intuition and intention into digital systems in an increasingly variety of applications.

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Emotion and Engagement Detection Using Behavioral Inputs: Gesture and Touch Interaction Data

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