Multimodal Target Prediction for Rapid Human-Robot Interaction-Reference-Cited by-同舟云学术

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Multimodal Target Prediction for Rapid Human-Robot Interaction

Published:2024-03-18 Issue: Volume:21 Page:18-23
ISSN:
Container-title:Companion Proceedings of the 29th International Conference on Intelligent User Interfaces
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Author:

Mitra Mukund¹^ORCID,Patil Ameya Avinash²^ORCID,Mothish Gvs³^ORCID,Kumar Gyanig⁴^ORCID,Mukhopadhyay Abhishek¹^ORCID,L R D Murthy⁵^ORCID,Chakraborty Partha Pratim⁶^ORCID,Biswas Pradipta⁵^ORCID

Affiliation:

1. Indian Institute of Science, India

2. CSE Core, Vellore Institute of Technology, India

3. RBCCPS, Indian Institute of Science, India

4. I3D Labs, Indian Institute of Sciences, India

5. CPDM, Indian Institute of Science, India

6. Indian Institute of Technology, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3640544.3645229

Reference36 articles.

1. Touchscreen usability and input performance in vehicles under different road conditions

2. Bashar I Ahmad, James K Murphy, Patrick M Langdon, Simon J Godsill, Robert Hardy, and Lee Skrypchuk. 2015. Intent inference for hand pointing gesture-based interactions in vehicles. IEEE transactions on cybernetics 46, 4 (2015), 878–889.

3. Pradipta Biswas and Patrick Langdon. 2014. Multimodal target prediction model. In CHI’14 Extended Abstracts on Human Factors in Computing Systems. 1543–1548.

4. Anticipating Many Futures: Online Human Motion Prediction and Generation for Human-Robot Interaction

5. Intention prediction approach to interact naturally with the microworld

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