A
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.
Papers
More filters
Book ChapterDOI
Efficient Evaluation of Coding Strategies for Transcutaneous Language Communication
Robert Turcott,Jennifer Chen,Pablo Castillo,Brian Knott,Wahyudinata Setiawan,Forrest Samuel Briggs,Keith Klumb,Freddy Abnousi,Prasad Chakka,Frances Lau,Ali Israr +10 more
TL;DR: 4 algorithms are presented along with methods for evaluation, which are based on discriminability, learnability, and generalizability of candidate haptic encoding algorithms, and evidence of generalIZability to new words is shown.
Proceedings ArticleDOI
Using haptic inputs to enrich story listening for young children
TL;DR: Initial evidence is provided that haptic effects can potentially enhance the reading/listening experience of children beyond 4 years by generating vibrotactile stimulation related to story content to augment story listening.
Proceedings ArticleDOI
Exploring Embedded Haptics for Social Networking and Interactions
TL;DR: This work explores the use of vibrotactile feedback for social and interpersonal communication on embedded systems, particularly in a mobile context, and proposes an architecture that supports compact packet communication between devices and triggers expressive VT patterns in a typical messenger application.
Proceedings ArticleDOI
A Two DOF Controller for a Multi-Finger Tactual Display Using a Loop-Shaping Technique
TL;DR: In this paper, a two-degree-of-freedom controller consisting of a feedback controller and a pre-filter is proposed for a multi-finger tactual display, the TACTUATOR.
Proceedings ArticleDOI
IRIDiuM: immersive rendered interactive deep media
Babis Koniaris,Ivan Huerta,Maggie Kosek,Karen Darragh,Charles Malleson,Joanna Jamrozy,Nicholas T. Swafford,José Antonio Iglesias Guitián,Bochang Moon,Ali Israr,Kenny Mitchell +10 more
TL;DR: This work proposes a solution for presenting movie quality graphics to the user while still allowing the sense of presence afforded by free viewpoint head motion within VR movies, and tracks the full upper body using the sparse sensor motion capture solver allowing users to see themselves in the virtual world.