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1
Predicting Perceptual Haptic Attributes of Textured Surface..:
, In:
Proceedings of the 29th ACM Symposium on Virtual Reality Software and Technology
,
Awan, Mudassir Ibrahim
;
Hassan, Waseem
;
Jeon, Seokhee
- p. 1-9 , 2023
Link:
https://dl.acm.org/doi/10.1145/3611659.3615714
RT T1 <cTitle>Proceedings of the 29th ACM Symposium on Virtual Reality Software and Technology</cTitle>: T1 <Title>Predicting Perceptual Haptic Attributes of Textured Surface from Tactile Data Based on Deep CNN-LSTM Network</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3615714&Exemplar=1&LAN=DE A1 Awan, Mudassir Ibrahim A1 Hassan, Waseem A1 Jeon, Seokhee PB ACM YR 2023 K1 Haptic texture classification K1 neural network K1 psychophysics K1 Human-centered computing K1 Human computer interaction (HCI) K1 HCI design and evaluation methods K1 User studies K1 Computing methodologies K1 Artificial intelligence K1 Natural language processing K1 Machine translation K1 Hardware K1 Communication hardware, interfaces and storage K1 Sensor applications and deployments K1 Tactile and hand-based interfaces K1 Haptic devices SP 1 OP 9 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3611659.3615714 DO https://dl.acm.org/doi/10.1145/3611659.3615714 SF ELIB - SuUB Bremen
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