HapticSeer: A Multi-channel, Black-box, Platform-agnostic Approach to Detecting Video Game Events for Real-time Haptic Feedback-Reference-Cited by-同舟云学术

HapticSeer: A Multi-channel, Black-box, Platform-agnostic Approach to Detecting Video Game Events for Real-time Haptic Feedback

Published:2021-05-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
language:
Short-container-title:

Author:

Lin Yu-Hsin¹,Wang Yu-Wei¹,Ku Pin-Sung¹,Cheng Yun-Ting¹,Hsu Yuan-Chih¹,Tsai Ching-Yi¹,Chen Mike Y.¹

Affiliation:

1. National Taiwan University, Taiwan

Funder

Ministry of Science and Technology of Taiwan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3411764.3445254

Reference28 articles.

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2. bHaptics. 2020. bHaptics Audio-to-Haptic. https://www.bhaptics.com/support/faq/#Audio-to-Haptic bHaptics. 2020. bHaptics Audio-to-Haptic. https://www.bhaptics.com/support/faq/#Audio-to-Haptic

3. bHaptics. 2020. bHaptics tactsuit. https://www.bhaptics.com/tactsuit/ bHaptics. 2020. bHaptics tactsuit. https://www.bhaptics.com/tactsuit/

4. Alexey Bochkovskiy Chien-Yao Wang and Hong-Yuan Mark Liao. 2020. YOLOv4: Optimal Speed and Accuracy of Object Detection. arxiv:2004.10934 [cs.CV] Alexey Bochkovskiy Chien-Yao Wang and Hong-Yuan Mark Liao. 2020. YOLOv4: Optimal Speed and Accuracy of Object Detection. arxiv:2004.10934 [cs.CV]

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