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About

Martin Leonard Tangel is a researcher specializing in human-robot interaction, multimodal gesture recognition, and affective computing. His work centers on enabling more natural and intuitive communication between humans and robotic systems, with a particular focus on mascot robot platforms. Tangel's most significant contributions involve the development of multi-sensor fusion techniques that combine camera-based image processing with 3D accelerometer data to recognize human gestures and emotional states in real time. His pioneering application of fuzzy logic and the Choquet integral to multimodal recognition frameworks allowed for optimized fusion of disparate sensor inputs, achieving robust recognition rates that single-modality approaches could not match. These methods, published between 2010 and 2012, have collectively garnered over 30 citations, reflecting their influence within the human-robot interaction and intelligent systems communities. Beyond gesture recognition, Tangel extended his affective computing interests into the domain of music, exploring emotion recognition in violin performance grounded in strings music theory — demonstrating a creative interdisciplinary reach. His body of work represents a meaningful contribution to making robots more emotionally responsive and socially aware companions for human users.