Results 21 to 30 of about 103,780 (249)

Decoding reach-to-grasp from EEG using classifiers trained with data from the contralateral limb

Frontiers in Human Neuroscience, 2023
Fundamental to human movement is the ability to interact with objects in our environment. How one reaches an object depends on the object’s shape and intended interaction afforded by the object, e.g., grasp and transport.
Kevin Hooks, Refaat El-Said, Qiushi Fu, Qiushi Fu   +3 more
doaj   +1 more source

Object stiffness recognition and vibratory feedback without ad-hoc sensing on the Hannes prosthesis: A machine learning approach

Frontiers in Neuroscience, 2023
IntroductionIn recent years, hand prostheses achieved relevant improvements in term of both motor and functional recovery. However, the rate of devices abandonment, also due to their poor embodiment, is still high.
Giulia Bruni, Andrea Marinelli, Andrea Marinelli, Anna Bucchieri, Anna Bucchieri, Nicolò Boccardo, Nicolò Boccardo, Giulia Caserta, Dario Di Domenico, Dario Di Domenico, Giacinto Barresi, Astrid Florio, Michele Canepa, Michele Canepa, Federico Tessari, Matteo Laffranchi, Lorenzo De Michieli   +16 more
doaj   +1 more source

Physical correlates of human-like softness elicit high tactile pleasantness

Scientific Reports, 2021
Touching an object can elicit affective sensations. Because these sensations are critical for social interaction, tactile preferences may be adapted to the characteristics of the human body.
Ryo Kitada, Megan Ng, Zheng Yee Tan, Xue Er Lee, Takanori Kochiyama   +4 more
doaj   +1 more source

Parallel Multi-Head Graph Attention Network (PMGAT) Model for Human-Object Interaction Detection

IEEE Access, 2023
Human-object interaction (HOI) detection is an advanced task in the field of computer vision and is crucial for deep scene understanding. However, current HOI detection models face serious challenges in the following aspects: first, they overly rely on ...
Jiali Zhang, Zuriahati Mohd Yunos, Habibollah Haron   +2 more
doaj   +1 more source

Approaches for Hybrid Coregistration of Marker-Based and Markerless Coordinates Describing Complex Body/Object Interactions

Sensors, 2023
Full-body motion capture is essential for the study of body movement. Video-based, markerless, mocap systems are, in some cases, replacing marker-based systems, but hybrid systems are less explored. We develop methods for coregistration between 2D video and 3D marker positions when precise spatial relationships are not known a priori.
Hyeonseok Kim, Makoto Miyakoshi, John R. Iversen   +2 more
openaire   +3 more sources

Fine-Grained Action Recognition by Motion Saliency and Mid-Level Patches

Applied Sciences, 2020
Effective extraction of human body parts and operated objects participating in action is the key issue of fine-grained action recognition. However, most of the existing methods require intensive manual annotation to train the detectors of these ...
Fang Liu, Liang Zhao, Xiaochun Cheng, Qin Dai, Xiangbin Shi, Jianzhong Qiao   +5 more
doaj   +1 more source

Automated Parts-Based Model for Recognizing Human–Object Interactions from Aerial Imagery with Fully Convolutional Network

Remote Sensing, 2022
Advanced aerial images have led to the development of improved human–object interaction recognition (HOI) methods for usage in surveillance, security, and public monitoring systems.
Yazeed Yasin Ghadi, Manahil Waheed, Tamara al Shloul, Suliman A. Alsuhibany, Ahmad Jalal, Jeongmin Park   +5 more
doaj   +1 more source

Brain Process for Perception of the “Out of the Body” Tactile Illusion for Virtual Object Interaction

Sensors, 2015
“Out of the body” tactile illusion refers to the phenomenon in which one can perceive tactility as if emanating from a location external to the body without any stimulator present there.
Hye Jin Lee, Jaedong Lee, Chi Jung Kim, Gerard J. Kim, Eun-Soo Kim, Mincheol Whang   +5 more
doaj   +1 more source

Interaction of rotary working body of roller type with the object of processing

MATEC Web of Conferences, 2018
There was presented the constructive-technological scheme of leaf-separating apparatus for harvesting tobacco leaves in the article. There was conducted the theoretical analysis of the process of tobacco leaf separation from a stalk.
Papusha Sergey K., Bogus Azamat E., Konovalov Vladimir I.   +2 more
doaj   +1 more source

Peripersonal Space [PDF]

, 2011
Research in the last four decades has brought a considerable advance in our understanding of how the brain synthesizes information arising from different sensory modalities. Indeed, many cortical and subcortical areas, beyond those traditionally considered to be ‘associative,’ have been shown to be involved in multisensory interaction and integration ...
Brozzoli, Claudio, Makin, Tamar R., Cardinali, Lucilla, Holmes, Nicholas P., Farne, Alessandro   +4 more
openaire   +1 more source