Halley Profita
Papers
1
Total Citations
25
H-Index
1
About
Halley Profita is a researcher whose work sits at the intersection of human-computer interaction, assistive technology, and wearable computing. Her research focuses on making technology more accessible and intuitive, particularly through tactile and gestural interfaces. One of her most cited contributions, "Detecting and Identifying Tactile Gestures using Deep Autoencoders, Geometric Moments and Gesture Level Features" (2015, 25 citations), explores how deep neural networks can recognize complex gestures performed on robotic skins—a foundational step toward more responsive and natural human-machine interaction. Profita’s work has been instrumental in advancing tactile sensing, with implications for prosthetics, smart textiles, and inclusive design. Her research demonstrates a commitment to bridging the gap between human capabilities and technological systems, often emphasizing accessibility for users with diverse needs. Through her innovative use of machine learning and sensor technologies, Profita has helped shape how we think about touch as a communication channel in computing. Her contributions continue to inspire new approaches in wearable interfaces and assistive robotics, making her a notable figure in the field of accessible and embodied interaction.
Research Focus
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Top Papers
- 1