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Ali Israr
Researcher at Facebook
Publications - 109
Citations - 3575
Ali Israr is an academic researcher from Facebook. The author has contributed to research in topics: Haptic technology & Actuator. The author has an hindex of 26, co-authored 102 publications receiving 2969 citations. Previous affiliations of Ali Israr include Rice University & Purdue University.
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Proceedings ArticleDOI
FeelSleeve: Haptic Feedback to Enhance Early Reading
TL;DR: FeelSleeve, an interface that allows children to feel story events in their hands while they are reading on a mobile device, provides evidence that haptic effects have the potential to improve children's reading experience and make it more memorable.
Journal ArticleDOI
Kinematic analysis and synthesis of an adjustable six-bar linkage
Gordon R. Pennock,Ali Israr +1 more
TL;DR: In this paper, the kinematics of an adjustable six-bar planar linkage were investigated and the angle through which the output link oscillated, for each revolution of the input crank, can be adjusted by a control arm.
Proceedings ArticleDOI
Mechanical Impedance of the Hand Holding a Spherical Tool at Threshold and Suprathreshold Stimulation Levels
TL;DR: The mechanical impedance of the hand for sinusoidal stimulation at the threshold and suprathreshold levels were essentially the same, indicating that skin characteristics do not change in the dynamic range of tactual perception for the same tool-holding posture.
Proceedings ArticleDOI
Tactile feedback on flat surfaces for the visually impaired
TL;DR: A mobile, generic, and inexpensive visuo-tactile sensory substitution device for the visually impaired that helps users to explore the world around them, by pointing it towards objects of the environment and rendering tactile information to the objects sensed by a camera.
Journal ArticleDOI
Expertise-based performance measures in a virtual training environment
TL;DR: This analysis of performance indicates that two quantitative measurestrajectory error and input frequency capture the key skills of the target-hitting task, as the results show a strong correlation between the performance measures and the task objective of maximizing target hits.