AIMC Topic: Human Body

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Leveraging machine learning for predicting human body model response in restraint design simulations.

Computer methods in biomechanics and biomedical engineering Nov 12, 2020
The objective of this study was to leverage and compare multiple machine learning techniques for predicting the human body model response in restraint design simulations. Parametric simulations with 16 independent variables were performed. Ordinary l...
Human Body Finite Element Analysis Computer Simulation Support Vector Machine Humans Neural Networks, Computer Machine Learning
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Motion Inference Using Sparse Inertial Sensors, Self-Supervised Learning, and a New Dataset of Unscripted Human Motion.

Sensors (Basel, Switzerland) Nov 6, 2020
In recent years, wearable sensors have become common, with possible applications in biomechanical monitoring, sports and fitness training, rehabilitation, assistive devices, or human-computer interaction. Our goal was to achieve accurate kinematics e...
Supervised Machine Learning Machine Learning Humans Motion Data Analysis Human Body Biomechanical Phenomena
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Fast body part segmentation and tracking of neonatal video data using deep learning.

Medical & biological engineering & computing Oct 23, 2020
Photoplethysmography imaging (PPGI) for non-contact monitoring of preterm infants in the neonatal intensive care unit (NICU) is a promising technology, as it could reduce medical adhesive-related skin injuries and associated complications. For practi...
Humans Infant, Newborn Infant, Premature Human Body Image Processing, Computer-Assisted Photoplethysmography Video Recording Infant Deep Learning
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Whole-body voxel-based internal dosimetry using deep learning.

European journal of nuclear medicine and molecular imaging Sep 1, 2020
PURPOSE: In the era of precision medicine, patient-specific dose calculation using Monte Carlo (MC) simulations is deemed the gold standard technique for risk-benefit analysis of radiation hazards and correlation with patient outcome. Hence, we propo...
Humans Computer Simulation Deep Learning Radiometry Monte Carlo Method Phantoms, Imaging Human Body
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Study on the Classification Performance of Underwater Sonar Image Classification Based on Convolutional Neural Networks for Detecting a Submerged Human Body.

Sensors (Basel, Switzerland) Dec 23, 2019
Auto-detecting a submerged human body underwater is very challenging with the absolute necessity to a diver or a submersible. For the vision sensor, the water turbidity and limited light condition make it difficult to take clear images. For this reas...
Ultrasonic Waves Human Body Humans Neural Networks, Computer Image Processing, Computer-Assisted
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Mapping anatomical related entities to human body parts based on wikipedia in discharge summaries.

BMC bioinformatics Aug 17, 2019
*: Background Consisting of dictated free-text documents such as discharge summaries, medical narratives are widely used in medical natural language processing. Relationships between anatomical entities and human body parts are crucial for building m...
Human Body Anatomy Patient Discharge Knowledge Bases Data Mining Humans Algorithms
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A Novel Method for Estimating Distances from a Robot to Humans Using Egocentric RGB Camera.

Sensors (Basel, Switzerland) Jul 17, 2019
Estimating distances between people and robots plays a crucial role in understanding social Human-Robot Interaction (HRI) from an egocentric view. It is a key step if robots should engage in social interactions, and to collaborate with people as part...
Humans Algorithms Biosensing Techniques Robotics Video Recording Human Body
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Robotic hand illusion with tactile feedback: Unravelling the relative contribution of visuotactile and visuomotor input to the representation of body parts in space.

PloS one Jan 23, 2019
The rubber hand illusion describes a phenomenon in which participants experience a rubber hand as being part of their body by the synchronous application of visuotactile stimulation to the real and the artificial limb. In the recently introduced robo...
Male Adolescent Robotics Body Image Hand Young Adult Adult Feedback Humans Touch Artificial Limbs Female Touch Perception Human Body Illusions
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Estimation of Full-Body Poses Using Only Five Inertial Sensors: An Eager or Lazy Learning Approach?

Sensors (Basel, Switzerland) Dec 15, 2016
Human movement analysis has become easier with the wide availability of motion capture systems. Inertial sensing has made it possible to capture human motion without external infrastructure, therefore allowing measurements in any environment. As high...
Adult Biomechanical Phenomena Male Algorithms Female Joints Human Body Orientation Time Factors Monitoring, Physiologic Posture Humans Neural Networks, Computer Machine Learning
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Composition of Asarum heterotropoides var. mandshuricum radix oil from different extraction methods and activities against human body odor-producing bacteria.

Journal of food and drug analysis Jun 21, 2016
In this study, oils from Asarum heterotropoides were extracted by traditional solvent extraction and supercritical CO (SC-CO) extraction methods and their antioxidant activities along with antimicrobial and inhibitory activities against five human bo...
Asarum Human Body Humans Odorants Bacteria Biphenyl Compounds Picrates
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