AI Medical Compendium Topic

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Movement

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MT-GCNN: Multi-Task Learning with Gated Convolution for Multiple Transmitters Localization in Urban Scenarios.

Sensors (Basel, Switzerland)
With the advance of the Internet of things (IoT), localization is essential in varied services. In urban scenarios, multiple transmitters localization is faced with challenges such as nonline-of-sight (NLOS) propagation and limited deployment of sens...

A robot for overground physical human-robot interaction experiments.

PloS one
Many anticipated physical human-robot interaction (pHRI) applications in the near future are overground tasks such as walking assistance. For investigating the biomechanics of human movement during pHRI, this work presents Ophrie, a novel interactive...

Fuzzy inference system (FIS) - long short-term memory (LSTM) network for electromyography (EMG) signal analysis.

Biomedical physics & engineering express
A wide range of application domains,s such as remote robotic control, rehabilitation, and remote surgery, require capturing neuromuscular activities. The reliability of the application is highly dependent on an ability to decode intentions accurately...

Humans modulate arm stiffness to facilitate motor communication during overground physical human-robot interaction.

Scientific reports
Humans can physically interact with other humans adeptly. Some overground interaction tasks, such as guiding a partner across a room, occur without visual and verbal communication, which suggests that the information exchanges occur through sensing m...

Modular Bioinspired Hand with Multijoint Rigid-Soft Finger Possessing Proprioception.

Soft robotics
Soft robot hands have the advantage of remarkable adaptability for grasping. Especially for the soft and fragile objects, soft fingers had presented their much excellent potential compared with their rigid counterparts. However, less degree of freedo...

Chopstick-Like Structure for the Free Transfer of Microdroplets in Robot Chemistry Laboratory.

Langmuir : the ACS journal of surfaces and colloids
As we all know, chopsticks can hold food, so can we use this method to carry Newtonian fluids such as droplets? This paper studies the process of this transfer and uses this method to realize the manipulation of open microfluidics by robots. To reali...

A Deep Learning Framework for Accurate Vehicle Yaw Angle Estimation from a Monocular Camera Based on Part Arrangement.

Sensors (Basel, Switzerland)
An accurate object pose is essential to assess its state and predict its movements. In recent years, scholars have often predicted object poses by matching an image with a virtual 3D model or by regressing the six-degree-of-freedom pose of the target...

Live fish learn to anticipate the movement of a fish-like robot.

Bioinspiration & biomimetics
The ability of an individual to predict the outcome of the actions of others and to change their own behavior adaptively is called anticipation. There are many examples from mammalian species-including humans-that show anticipatory abilities in a soc...

Hierarchical Motion Learning for Goal-Oriented Movements With Speed-Accuracy Tradeoff of a Musculoskeletal System.

IEEE transactions on cybernetics
Generating various goal-oriented movements via the flexible muscle model of the musculoskeletal system as fast and accurately as possible is a pressing problem, which is also the basis of most human adaptive behaviors, such as reaching, catching, int...

Semi-supervised body parsing and pose estimation for enhancing infant general movement assessment.

Medical image analysis
General movement assessment (GMA) of infant movement videos (IMVs) is an effective method for early detection of cerebral palsy (CP) in infants. We demonstrate in this paper that end-to-end trainable neural networks for image sequence recognition can...