Results 31 to 40 of about 1,272,840 (224)
Self-supervised Motion Learning from Static Images [PDF]
Motions are reflected in videos as the movement of pixels, and actions are essentially patterns of inconsistent motions between the foreground and the background. To well distinguish the actions, especially those with complicated spatio-temporal interactions, correctly locating the prominent motion areas is of crucial importance.
arxiv
BackgroundMuscle overactivity is one of the positive signs of upper motor neuron lesions. In these patients, the loss of muscle length and extensibility resulting from soft tissue rearrangement has been suggested as a contributing cause of muscle ...
Andrea Merlo+9 more
doaj +1 more source
Branch Interference Sensing and Handling by Tactile Enabled Robotic Apple Harvesting
In the dynamic and unstructured environment where horticultural crops grow, obstacles and interference frequently occur but are rarely addressed, which poses significant challenges for robotic harvesting.
Hongyu Zhou+5 more
doaj +1 more source
Apparent Motion and the Motion Detector
The full-text of this book chapter is not available in ORA. Citation: Braddick, O. & Adlard, A. (1978). Apparent motion and the motion detector. In: Armington, J., Krauskopf, J. & Wooten, B. R. (eds.) Visual psychophysics and physiology: a volume dedicated to Lorrin Riggs. New York: Academic Press, pp. 417-426.
Braddick, O, Adlard, A
openaire +3 more sources
Pipeline quantum processor architecture for silicon spin qubits
We propose a quantum processor architecture, the qubit ‘pipeline’, in which run-time scales additively as functions of circuit depth and run repetitions. Run-time control is applied globally, reducing the complexity of control and interconnect resources.
S. M. Patomäki+5 more
doaj +1 more source
Combining Internal- and External-Training-Loads to Predict Non-Contact Injuries in Soccer
The large amount of features recorded from GPS and inertial sensors (external load) and well-being questionnaires (internal load) can be used together in a multi-dimensional non-linear machine learning based model for a better prediction of non-contact ...
Emmanuel Vallance+4 more
doaj +1 more source
Learning-Based Slip Detection for Robotic Fruit Grasping and Manipulation under Leaf Interference
Robotic harvesting research has seen significant achievements in the past decade, with breakthroughs being made in machine vision, robot manipulation, autonomous navigation and mapping.
Hongyu Zhou+5 more
doaj +1 more source
MMM: Generative Masked Motion Model [PDF]
Recent advances in text-to-motion generation using diffusion and autoregressive models have shown promising results. However, these models often suffer from a trade-off between real-time performance, high fidelity, and motion editability. To address this gap, we introduce MMM, a novel yet simple motion generation paradigm based on Masked Motion Model ...
arxiv
Different types of feedback are used during gait training in children with cerebral palsy (CP), including verbal (VB) and virtual reality (VR) feedback. Previous studies on VR feedback showed positive effects on the targeted gait parameter. However, both
Tine De Mulder+5 more
doaj +1 more source
As an alternative to high-cost shoe insole pressure sensors that measure the insole pressure distribution and calculate the center of pressure (CoP), researchers developed a foot sensor with FSR sensors on the bottom of the insole.
Ho Seon Choi+4 more
doaj +1 more source