Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Steven C Hauser"'
Publikováno v:
IEEE Transactions on Haptics. :1-11
Autor:
Sarah McIntyre, Steven C Hauser, Anikó Kusztor, Rebecca Boehme, Athanasia Moungou, Peder Mortvedt Isager, Lina Homman, Giovanni Novembre, Saad Nagi, Ali Israr, Ellen A. Lumpkin, Freddy Abnousi, Gregory J Gerling, Håkan Olausson
Touch is a powerful communication tool, but we have a limited understanding of the role played by particular physical features of interpersonal touch communication. In this study, adults living in Sweden performed a task in which messages (attention,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89a944741ba6f7ae52d201fbbcc9a413
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-187719
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-187719
Publikováno v:
2019 IEEE World Haptics Conf
WHC
WHC
We employ distinct exploratory procedures to improve our perceptual judgments of an object’s properties. For instance, with respect to compliance, we exert pressure against a resisting force. The present work investigates ties between strategies fo
Publikováno v:
2019 IEEE World Haptics Conf
WHC
WHC
Couples often communicate their emotions, e.g., love or sadness, through physical expressions of touch. Prior efforts have used visual observation to distinguish emotional touch communications by certain gestures tied to one’s hand contact, velocit
Publikováno v:
HAPTICS
IEEE Haptics Symp
IEEE Haptics Symp
We regularly touch soft, compliant fruits and tissues. To help us discriminate them, we rely upon cues embedded in spatial and temporal deformation of finger pad skin. However, we do not yet understand, in touching objects of various compliance, how
Applications of machine learning are subject to three major components that contribute to the final performance metrics. Within the category of neural networks, and deep learning specifically, the first two are the architecture for the model being tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fccde2b2b7bb42ad1cf4903f404f714e
Autor:
Gregory J. Gerling, Alexis K. Bowen, Yuxiang Wang, Steven C. Hauser, Bryan R. Soltis, Kathryn D. Fanta
Publikováno v:
IEEE Transactions on Haptics. 11:498-508
Understanding how we perceive differences in material compliance, or 'softness,' is a central topic in the field of haptics. The intrinsic elasticity of an object is the primary factor thought to influence our perceptual estimates. Therefore, most st
Publikováno v:
IEEE Trans Haptics
When interacting with deformable objects, tactile cues at the finger pad help inform our perception of material compliance. Nearly all prior studies have relied on highly homogenous, engineered materials such as silicone-elastomers and foams. In cont
Publikováno v:
Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting. 62(1)
In our ability to discriminate compliant, or ‘soft,’ objects, we rely upon information acquired from interactions at the finger pad. We have yet to resolve the most pertinent perceptual cues. However, doing so is vital for building effective, dyn
Force-Rate Cues Reduce Object Deformation Necessary to Discriminate Compliances Harder than the Skin
Autor:
Gregory J. Gerling, Steven C. Hauser
Publikováno v:
IEEE Transactions on Haptics. 11:232-240
Grasping and manipulating an object requires us to perceive its material compliance. Compliance is thought to be encoded by relationships of force, displacement, and contact area at the finger pad. Prior work suggests that objects must be sufficientl