AIMC Topic: Movement

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Dance Action Recognition Model Using Deep Learning Network in Streaming Media Environment.

Journal of environmental and public health Sep 12, 2022
Dance movement recognition is a video technology that has a significant impact on intelligent applications and is widely applied in many industries. In the training of intelligent dance assistants, this method can be used. Dancers' postures can be re...
Neural Networks, Computer Deep Learning Movement
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Assessment of deep learning pose estimates for sports collision tracking.

Journal of sports sciences Sep 11, 2022
Injury assessment during sporting collisions requires estimation of the associated kinematics. While marker-based solutions are widely accepted as providing accurate and reliable measurements, setup times are lengthy and it is not always possible to ...
Humans Movement Biomechanical Phenomena Deep Learning Motion Sports
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Lite-3DCNN Combined with Attention Mechanism for Complex Human Movement Recognition.

Computational intelligence and neuroscience Sep 9, 2022
Three-dimensional convolutional network (3DCNN) is an essential field of motion recognition research. The research work of this paper optimizes the traditional three-dimensional convolution network, introduces the self-attention mechanism, and propos...
Humans Neural Networks, Computer Motion Movement
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Effect of button layout on the exploration and learning of robot operation using an unfamiliar controller.

PloS one Sep 2, 2022
Robots are becoming increasingly accessible to both experts and non-experts. Therefore, establishing a method for learning robot operations that can be easily mastered by non-experts is important. With this in mind, we aimed to develop a method that ...
Robotics Robotic Surgical Procedures Humans Learning Foot Movement
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Orthogonal Features Based EEG Signals Denoising Using Fractional and Compressed One-Dimensional CNN Autoencoder.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 2, 2022
This paper presents a fractional one-dimensional convolutional neural network (CNN) autoencoder for denoising the Electroencephalogram (EEG) signals which often get contaminated with noise during the recording process, mostly due to muscle artifacts ...
Humans Movement Neural Networks, Computer Electroencephalography Artifacts Algorithms
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A Deep Learning Approach to Classify Sitting and Sleep History from Raw Accelerometry Data during Simulated Driving.

Sensors (Basel, Switzerland) Sep 1, 2022
Prolonged sitting and inadequate sleep can impact driving performance. Therefore, objective knowledge of a driver's recent sitting and sleep history could help reduce safety risks. This study aimed to apply deep learning to raw accelerometry data col...
Deep Learning Adolescent Adult Male Humans Sitting Position Female Movement Young Adult Sleep Accelerometry
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Residual one-dimensional convolutional neural network for neuromuscular disorder classification from needle electromyography signals with explainability.

Computer methods and programs in biomedicine Aug 24, 2022
BACKGROUND AND OBJECTIVE: Neuromuscular disorders are diseases that damage our ability to control body movements. Needle electromyography (nEMG) is often used to diagnose neuromuscular disorders, which is an electrophysiological test measuring electr...
Neural Networks, Computer Algorithms Electromyography Humans Movement
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Fall-from-Height Detection Using Deep Learning Based on IMU Sensor Data for Accident Prevention at Construction Sites.

Sensors (Basel, Switzerland) Aug 16, 2022
Workers at construction sites are prone to fall-from-height (FFH) accidents. The severity of injury can be represented by the acceleration peak value. In the study, a risk prediction against FFH was made using IMU sensor data for accident prevention ...
Acceleration Movement Accident Prevention Male Deep Learning Humans
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Discriminating Free Hand Movements Using Support Vector Machine and Recurrent Neural Network Algorithms.

Sensors (Basel, Switzerland) Aug 15, 2022
Decoding natural hand movements is of interest for human-computer interaction and may constitute a helpful tool in the diagnosis of motor diseases and rehabilitation monitoring. However, the accurate measurement of complex hand movements and the deco...
Aged Support Vector Machine Neural Networks, Computer Algorithms Movement Hand Brain-Computer Interfaces Humans
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Arm Movement Analysis Technology of Wushu Competition Image Based on Deep Learning.

Computational intelligence and neuroscience Aug 12, 2022
In order to improve the recognition accuracy of action poses for athletes in martial arts competitions, it is considered that a single frame pose does not have the temporal features required for sequential actions. Based on deep learning, this paper ...
Humans Martial Arts Technology Arm Deep Learning Movement
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