Intelligent Systems and Assistive Technologies Lab » Conferences

ISAT Lab @ IEEE VR’18

ISAT — Sat, 24 Mar 2018 13:00:25 +0000

ISAT member Edgar Rojas co-presented an oral presentation on March 18, 2018 at the VAR4Good workshop at IEEE VR 2018 conference, held in Reutlingen, Germany.

Rojas gave a talk regarding the current state of the System for Telementoring with Augmented Reality (STAR). The talk included a comparison between two different STAR versions: a Tablet-based and a Head-Mounted Display.

A poster summarizing the talk can be found here.

ISAT members presented 3 posters at HRI 2018 Chicago

ISAT — Sat, 10 Mar 2018 19:35:43 +0000

ISAT members Tian Zhou, Maru Cabrera, and Natalia Sanchez presented their posters at HRI 2018 conference at Chicago on March 6, 2018. Check it out!

Zhou, T., Cha, J. S., Gonzalez, G. T., Wachs, J. P., Sundaram, C., & Yu, D. (2018, March). Joint Surgeon Attributes Estimation in Robot-Assisted Surgery. In Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction (pp. 285-286). ACM.

Proceeding
Poster

Cabrera, M. E., Voyles, R. M., & Wachs, J. P. (2018, March). Coherence in One-Shot Gesture Recognition for Human-Robot Interaction. In Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction (pp. 75-76). ACM.

Proceeding
Poster

Sanchez-Tamayo, N., & Wachs, J. P. (2018, March). Collaborative Robots in Surgical Research: a Low-Cost Adaptation. In Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction (pp. 231-232). ACM.

Proceeding
Poster

Paper accepted at ICMI 2017

ISAT — Fri, 17 Nov 2017 21:21:55 +0000

A paper related to zero shot learning for gesture recognition was accepted for poster presentation at 19th ACM International Conference on Multimodal Interaction held at Glasgow, Scotland, UK. ISAT’s member, Mr. Naveen Madapana presented the poster at the conference.

Brief Description: Humans tend to create the gestures on the fly and conventional machine learning systems lack adaptability to learn new gestures beyond the training stage. This problem can be best addressed using Zero Shot Learning (ZSL), a paradigm in machine learning that aims to recognize unseen objects by just having a description of them. ZSL for gestures has hardly been addressed in computer vision research due to the inherent ambiguity and the contextual dependency associated with the gestures. This work proposes an approach for Zero Shot Gestural Learning (ZSGL) by leveraging the semantic information that is embedded in the gestures.

ISAT’s presence in FG2017 @ Washington DC

ISAT — Sat, 27 May 2017 01:27:08 +0000

The ISAT lab members had substantial presence in the IEEE International Conference for Face and Gesture Recognition in Washington DC.

Maru Cabrera was accepted to participate in the Doctoral Consortium, as well as presenting a Poster on a conference accepted paper on neural signatures involved in gesture perception.

Other lab members were awarded with Travel Grants to participate in the 1st International Workshop on Adaptive Shot Learning for Gesture Understanding and Processing. Among them, Naveen Madapana did an oral presentation on his workshop paper regarding Zero-Shot Learning.