English
Related papers

Related papers: Does visual experience influence arm proprioceptio…

200 papers

Information about the position of an object that is held in both hands, such as a golf club or a tennis racquet, is transmitted to the human central nervous system from peripheral sensors in both left and right arms. How does the brain…

Neurons and Cognition · Quantitative Biology 2014-04-10 Jeremy D Wong , Elizabeth T Wilson , Dinant A Kistemaker , Paul L Gribble

An accurate estimate of limb position is necessary for movement. Where we localize our unseen hand after a reach depends on felt hand position, or proprioception, but often only predicted sensory consequences based on efference copies of…

Neurons and Cognition · Quantitative Biology 2018-11-22 Ahmed A. Mostafa , Bernard Marius 't Hart , Denise Y. P. Henriques

Artificial self-perception is the machine ability to perceive its own body, i.e., the mastery of modal and intermodal contingencies of performing an action with a specific sensors/actuators body configuration. In other words, the…

Robotics · Computer Science 2019-01-29 German Diez-Valencia , Takuya Ohashi , Pablo Lanillos , Gordon Cheng

Inspired by the remarkable ability of the infant visual learning system, a recent study collected first-person images from children to analyze the `training data' that they receive. We conduct a follow-up study that investigates two…

Computer Vision and Pattern Recognition · Computer Science 2019-06-05 Satoshi Tsutsui , Dian Zhi , Md Alimoor Reza , David Crandall , Chen Yu

In this preliminary study we address the question of the influence of handedness on the localization of targets perceived through a visuo-auditory substitution device. Participants hold the device in one hand in order to explore the…

Neurons and Cognition · Quantitative Biology 2019-04-22 Sylvain Hanneton , Claudia Munoz

Robots that assist humans will need to interact with articulated objects such as cabinets or microwaves. Early work on creating systems for doing so used proprioceptive sensing to estimate joint mechanisms during contact. However, nowadays,…

Robotics · Computer Science 2023-05-17 Thomas Lips , Francis wyffels

Myoelectric prosthetic hands are typically controlled to move between discrete positions and do not provide sensory feedback to the user. In this work, we present and evaluate a closed-loop, continuous myoelectric prosthetic hand…

Traditional approaches to measurement in upper-limb therapy have gaps that electronic sensing and recording can help fill. We highlight shortcomings in current kinematic recording devices, and we introduce a wrist sensing device that…

Robotics · Computer Science 2024-11-20 Jacob Carducci , Jeremy D. Brown

Ankle proprioceptive deficits are common after stroke and occur independently of ankle motor impairments. Despite this independence, some studies have found that ankle proprioceptive deficits predict gait function, consistent with the…

Egocentric vision holds great promises for increasing access to visual information and improving the quality of life for people with visual impairments, with object recognition being one of the daily challenges for this population. While we…

Computer Vision and Pattern Recognition · Computer Science 2020-03-02 Kyungjun Lee , Abhinav Shrivastava , Hernisa Kacorri

We have a limited understanding of how we integrate haptic information in real-time from our upper limbs to perform complex bimanual tasks, an ability that humans routinely employ to perform tasks of varying levels of difficulty. In order…

Robotics · Computer Science 2021-07-26 Mohit Singhala , Amy Chi , Maria Coleman , Jeremy D. Brown

We tested whether and how biases in visual perception might influence motor actions. To do so, we designed an interception task in which subjects had to indicate the time when a moving object, whose trajectory was occluded, would reach a…

Neurons and Cognition · Quantitative Biology 2014-03-11 Alexander Tank , Alan A. Stocker

Precision rehabilitation aims to tailor movement training to improve outcomes. We tested whether proprioceptively-tailored robotic training improves hand function and neural processing in stroke survivors. Using a robotic finger…

We propose a general self-supervised learning approach for spatial perception tasks, such as estimating the pose of an object relative to the robot, from onboard sensor readings. The model is learned from training episodes, by relying on: a…

Robotics · Computer Science 2021-07-20 Mirko Nava , Antonio Paolillo , Jérôme Guzzi , Luca Maria Gambardella , Alessandro Giusti

Proprioception is essential for coordinating human movements and enhancing the performance of assistive robotic devices. Skin stretch feedback, which closely aligns with natural proprioception mechanisms, presents a promising method for…

Human-Computer Interaction · Computer Science 2025-03-28 Ching Hei Cheng , Jonathan Eden , Denny Oetomo , Ying Tan

To proactively navigate and traverse various terrains, active use of visual perception becomes indispensable. We aim to investigate the feasibility and performance of using sparse visual observations to achieve perceptual locomotion over a…

Robotics · Computer Science 2022-05-27 Fernando Acero , Kai Yuan , Zhibin Li

Sensory feedback is essential for the control of soft robotic systems and to enable deployment in a variety of different tasks. Proprioception refers to sensing the robot's own state and is of crucial importance in order to deploy soft…

Robotics · Computer Science 2024-10-30 Matthias Hofer , Carmelo Sferrazza , Raffaello D'Andrea

When learning a new motor behavior, e.g. reaching in a force field, the nervous system builds an internal representation. Examining how subsequent reaches in unpracticed directions generalize reveals this representation. Though it is the…

Robotics · Computer Science 2019-11-21 Alireza Rezazadeh , Max Berniker

Low vision involves a range of visual impairments that significantly impact daily activities, particularly navigation in urban environments. Individuals with low vision often develop adaptive strategies to compensate for visual deficits,…

Quantitative Methods · Quantitative Biology 2025-10-06 Mahya Beheshti , John_Ross Rizzo , Sarah Bergquist-Kosumi , Ajayrangan Kasturirangan , Sharvari Deshpande , Todd E Hudson

The vast majority of visual animals actively control their eyes, heads, and/or bodies to direct their gaze toward different parts of their environment. In contrast, recent applications of reinforcement learning in robotic manipulation…

Computer Vision and Pattern Recognition · Computer Science 2020-03-17 Youssef Zaky , Gaurav Paruthi , Bryan Tripp , James Bergstra
‹ Prev 1 2 3 10 Next ›