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Related papers: Naturalistic stimuli in touch research

200 papers

Physiological signals can potentially be applied as objective measures to understand the behavior and engagement of users interacting with information access systems. However, the signals are highly sensitive, and many controls are required…

Information Retrieval · Computer Science 2023-04-27 Kaixin Ji , Damiano Spina , Danula Hettiachchi , Flora Dilys Salim , Falk Scholer

Today's touch sensors come in many shapes and sizes. This has made it challenging to develop general-purpose touch processing methods since models are generally tied to one specific sensor design. We address this problem by performing…

Robotics · Computer Science 2024-09-13 Samanta Rodriguez , Yiming Dou , Miquel Oller , Andrew Owens , Nima Fazeli

An overview of the applications of control theory to prosthetic sense organs including the senses of vision, taste and odor is being presented in this paper. Simulation aspect nowadays has been the centre of research in the field of…

Robotics · Computer Science 2011-11-08 Biswarup Neogi , Soumya Ghosal , Soumyajit Mukherjee , Achintya Das , D. N. Tibarewala

We address the problem of tactile localization, where the goal is to identify image regions that share the same material properties as a tactile input. Existing visuo-tactile methods rely on global alignment and thus fail to capture the…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Seongyu Kim , Seungwoo Lee , Hyeonggon Ryu , Joon Son Chung , Arda Senocak

Palpation, the use of touch in medical examination, is almost exclusively performed by humans. We investigate a proof of concept for an artificial palpation method based on self-supervised learning. Our key idea is that an encoder-decoder…

Machine Learning · Computer Science 2025-11-21 Zohar Rimon , Elisei Shafer , Tal Tepper , Efrat Shimron , Aviv Tamar

Humans usually perceive the world in a multimodal way that vision, touch, sound are utilised to understand surroundings from various dimensions. These senses are combined together to achieve a synergistic effect where the learning is more…

Computer Vision and Pattern Recognition · Computer Science 2021-12-30 Guanqun Cao , Shan Luo

Human categorization is one of the most important and successful targets of cognitive modeling in psychology, yet decades of development and assessment of competing models have been contingent on small sets of simple, artificial…

Computer Vision and Pattern Recognition · Computer Science 2021-01-27 Ruairidh M. Battleday , Joshua C. Peterson , Thomas L. Griffiths

Humans inhabit a world defined by interactions -- with other humans, objects, and environments. These interactive movements not only convey our relationships with our surroundings but also demonstrate how we perceive and communicate with…

Computer Vision and Pattern Recognition · Computer Science 2026-02-17 Kewei Sui , Anindita Ghosh , Inwoo Hwang , Bing Zhou , Jian Wang , Chuan Guo

With developments in computer graphics, hardware technology, perception engineering, and human-computer interaction, virtual reality and virtual environments are becoming more integrated into our daily lives. Head-mounted displays, however,…

Human-Computer Interaction · Computer Science 2022-03-30 Efe Bozkir

By utilizing different communication channels, such as verbal language, gestures or facial expressions, virtually embodied interactive humans hold a unique potential to bridge the gap between human-computer interaction and actual interhuman…

Human-Computer Interaction · Computer Science 2017-05-19 Kevin K. Bowden , Tommy Nilsson , Christine P. Spencer , Kubra Cengiz , Alexandru Ghitulescu , Jelte B. van Waterschoot

The ability to modulate brain states using targeted stimulation is increasingly being employed to treat neurological disorders and to enhance human performance. Despite the growing interest in brain stimulation as a form of neuromodulation,…

Neurons and Cognition · Quantitative Biology 2016-01-07 Sarah Feldt Muldoon , Fabio Pasqualetti , Shi Gu , Matthew Cieslak , Scott T. Grafton , Jean M. Vettel , Danielle S. Bassett

The possibility for humans to interact with physical or virtual systems using gestures has been vastly explored by researchers and designers in the last twenty years to provide new and intuitive interaction modalities. Unfortunately, the…

Human-Computer Interaction · Computer Science 2022-01-26 Alessandro Carfì , Fulvio Mastrogiovanni

Recent advancements in robotics have increased the possibilities for integrating robotic systems into human-involved workplaces, highlighting the need to examine and optimize human-robot coordination in collaborative settings. This study…

Robotics · Computer Science 2025-11-26 Róisín Keenan , Joost C. Dessing

Contact-rich manipulation has become increasingly important in robot learning. However, previous studies on robot learning datasets have focused on rigid objects and underrepresented the diversity of pressure conditions for real-world…

Simulators perform an important role in prototyping, debugging, and benchmarking new advances in robotics and learning for control. Although many physics engines exist, some aspects of the real world are harder than others to simulate. One…

Robotics · Computer Science 2022-02-14 Shaoxiong Wang , Mike Lambeta , Po-Wei Chou , Roberto Calandra

A successful grasp requires careful balancing of the contact forces. Deducing whether a particular grasp will be successful from indirect measurements, such as vision, is therefore quite challenging, and direct sensing of contacts through…

We review the current technology underlying surface haptics that converts passive touch surfaces to active ones (machine haptics), our perception of tactile stimuli displayed through active touch surfaces (human haptics), their potential…

Human-Computer Interaction · Computer Science 2020-04-30 Cagatay Basdogan , Frederic Giraud , Vincent Levesque , Seungmoon Choi

Visual attention forms the basis of understanding the visual world. In this work we follow a computational approach to investigate the biological basis of visual attention. We analyze retinal and cortical electrophysiological data from…

Neurons and Cognition · Quantitative Biology 2023-08-02 Nikos Melanitis , Konstantina Nikita

The use of data-driven techniques for tactile data processing and classification has recently increased. However, collecting tactile data is a time-expensive and sensor-specific procedure. Indeed, due to the lack of hardware standards in…

Robotics · Computer Science 2024-11-05 Francesco Grella , Alessandro Albini , Giorgio Cannata , Perla Maiolino

The incorporation of structured light techniques into vision science has enabled more selective probes of polarization related entoptic phenomena. Diverse sets of stimuli have become accessible in which the spatially dependant optical…