Aruna Ramasamy
Papers
1
Total Citations
6
H-Index
1
About
Aruna Ramasamy is a leading researcher in multimodal haptic perception, with a focus on how touch, sound, and vision integrate during human interaction with textured surfaces. Her most cited work, the 2023 study *"Concurrent Haptic, Audio, and Visual Data Set During Bare Finger Interaction with Textured Surfaces"* (6 citations), provides a groundbreaking synchronized dataset capturing sensory signals from bare finger exploration. This resource is pivotal for advancing both natural and artificial perceptual systems, enabling more realistic haptic feedback in virtual environments and robotics. Ramasamy’s contributions address a critical gap in multimodal data collection, as prior datasets often isolated haptic signals from other senses. By aligning tactile, auditory, and visual cues, her work deepens understanding of cross-modal sensory integration and informs the design of more intuitive human-machine interfaces. Her research has immediate applications in teleoperation, assistive technologies, and virtual reality, where realistic texture rendering is essential. With a growing citation impact, Ramasamy is establishing herself as a key voice in sensory neuroscience and haptic engineering, bridging fundamental perceptual science with practical technological innovation.
Research Focus
Key Achievements
Top Papers
- 1