AIMC Topic: Motion

Clear Filters Showing 621 to 630 of 879 articles

On-field player workload exposure and knee injury risk monitoring via deep learning.

Journal of biomechanics
In sports analytics, an understanding of accurate on-field 3D knee joint moments (KJM) could provide an early warning system for athlete workload exposure and knee injury risk. Traditionally, this analysis has relied on captive laboratory force plate...

Detection of Moving Object in Dynamic Visual Sequences Based on Partial Least Squares Classifier.

Journal of medical systems
Detection of moving object from a visual sequence plays a vital role for the tracking of object. The main objective of this proposed work is to detect and classify the various video sequences with the help of different classification algorithms. The ...

AMiCUS-A Head Motion-Based Interface for Control of an Assistive Robot.

Sensors (Basel, Switzerland)
Within this work we present AMiCUS, a Human-Robot Interface that enables tetraplegics to control a multi-degree of freedom robot arm in real-time using solely head motion, empowering them to perform simple manipulation tasks independently. The articl...

When the goal is to generate a series of activities: A self-organized simulated robot arm.

PloS one
Behavior is characterized by sequences of goal oriented conducts, such as food uptake, socializing and resting. Classically, one would define for each task a corresponding satisfaction level, with the agent engaging, at a given time, in the activity ...

Motion estimation and correction in cardiac CT angiography images using convolutional neural networks.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Cardiac motion artifacts frequently reduce the interpretability of coronary computed tomography angiography (CCTA) images and potentially lead to misinterpretations or preclude the diagnosis of coronary artery disease (CAD). In this paper, a novel mo...

Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow.

Medical image analysis
We propose a method to classify cardiac pathology based on a novel approach to extract image derived features to characterize the shape and motion of the heart. An original semi-supervised learning procedure, which makes efficient use of a large amou...

Video-based surgical skill assessment using 3DĀ convolutional neural networks.

International journal of computer assisted radiology and surgery
PURPOSE: A profound education of novice surgeons is crucial to ensure that surgical interventions are effective and safe. One important aspect is the teaching of technical skills for minimally invasive or robot-assisted procedures. This includes the ...

Biocompatible propulsion for biomedical micro/nano robotics.

Biosensors & bioelectronics
Micro/Nano robots have shown enormous potential for diverse biomedical applications, such as targeted delivery, in vivo biosensing, minimally invasive surgery and cell manipulation through extending their area of operation to various previously inacc...

Surgical skill levels: Classification and analysis using deep neural network model and motion signals.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVES: Currently, the assessment of surgical skills relies primarily on the observations of expert surgeons. This may be time-consuming, non-scalable, inconsistent and subjective. Therefore, an automated system that can objectivel...

Discrimination of Motion Direction in a Robot Using a Phenomenological Model of Synaptic Plasticity.

Computational intelligence and neuroscience
Recognizing and tracking the direction of moving stimuli is crucial to the control of much animal behaviour. In this study, we examine whether a bio-inspired model of synaptic plasticity implemented in a robotic agent may allow the discrimination of ...