AIMC Topic: Humans

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Virtual to Real Adaptation of Pedestrian Detectors.

Sensors (Basel, Switzerland)
Pedestrian detection through Computer Vision is a building block for a multitude of applications. Recently, there has been an increasing interest in convolutional neural network-based architectures to execute such a task. One of these supervised netw...

Robot-Aided Systems for Improving the Assessment of Upper Limb Spasticity: A Systematic Review.

Sensors (Basel, Switzerland)
Spasticity is a motor disorder that causes stiffness or tightness of the muscles and can interfere with normal movement, speech, and gait. Traditionally, the spasticity assessment is carried out by clinicians using standardized procedures for objecti...

Sensor Fusion in Assistive and Rehabilitation Robotics.

Sensors (Basel, Switzerland)
As the world's population gradually grows older, more and more adults are experiencing sensory-motor disabilities due to stroke, traumatic brain injury, spinal cord injury and other diseases [...].

Classification of Non-Severe Traumatic Brain Injury from Resting-State EEG Signal Using LSTM Network with ECOC-SVM.

Sensors (Basel, Switzerland)
Traumatic brain injury (TBI) is one of the common injuries when the human head receives an impact due to an accident or fall and is one of the most frequently submitted insurance claims. However, it is often always misused when individuals attempt an...

Face and Body-Based Human Recognition by GAN-Based Blur Restoration.

Sensors (Basel, Switzerland)
The long-distance recognition methods in indoor environments are commonly divided into two categories, namely face recognition and face and body recognition. Cameras are typically installed on ceilings for face recognition. Hence, it is difficult to ...

Multifactorial 10-Year Prior Diagnosis Prediction Model of Dementia.

International journal of environmental research and public health
Dementia is a neurodegenerative disorder that affects the older adult population. To date, no cure or treatment to change its course is available. Since changes in the brains of affected individuals could be evidenced as early as 10 years before the ...

Noninvasive estimation of aortic hemodynamics and cardiac contractility using machine learning.

Scientific reports
Cardiac and aortic characteristics are crucial for cardiovascular disease detection. However, noninvasive estimation of aortic hemodynamics and cardiac contractility is still challenging. This paper investigated the potential of estimating aortic sys...

Toward a hemorrhagic trauma severity score: fusing five physiological biomarkers.

Journal of translational medicine
BACKGROUND: To introduce the Hemorrhage Intensive Severity and Survivability (HISS) score, based on the fusion of multi-biomarker data; glucose, lactate, pH, potassium, and oxygen tension, to serve as a patient-specific attribute in hemorrhagic traum...

Adaptive respiratory signal prediction using dual multi-layer perceptron neural networks.

Physics in medicine and biology
To improve the prediction accuracy of respiratory signals by adapting the multi-layer perceptron neural network (MLP-NN) model to changing respiratory signals. We have previously developed an MLP-NN to predict respiratory signals obtained from a real...

Noise reduction with cross-tracer and cross-protocol deep transfer learning for low-dose PET.

Physics in medicine and biology
Previous studies have demonstrated the feasibility of reducing noise with deep learning-based methods for low-dose fluorodeoxyglucose (FDG) positron emission tomography (PET). This work aimed to investigate the feasibility of noise reduction for trac...