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Motion

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Task-Oriented Evaluation of the Feasible Kinematic Directional Capabilities for Robot Machining.

Sensors (Basel, Switzerland)
Performing the machining of complex surfaces can be a challenging task for a robot, especially in terms of collaborative robotics, where the available motion capabilities are greatly reduced in comparison with conventional industrial robot arms. It i...

Analysis and Correction of Wrong Technical Actions in Juvenile Sports Training Based on Deep Learning.

Computational intelligence and neuroscience
Scientific analysis of students' incorrect actions in class, as well as timely and effective correction, is frequently an important link in the PE process. At the same time, it is an important symbol for assessing a teacher's teaching level and quali...

The stability investigation of variable viscosity control in the human-robot interaction.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: For many co-manipulative applications, variable damping is a valuable feature provided by robots. One approach is implementing a high viscosity at low velocities and a low viscosity at high velocities. This, however, is proven to have the...

Design of Transverse Brachiation Robot and Motion Control System for Locomotion between Ledges at Different Elevations.

Sensors (Basel, Switzerland)
Bio-inspired transverse brachiation robots mimic the movement of human climbers as they traverse along ledges on a vertical wall. The constraints on the locomotion of these robots differ considerably from those of conventional brachiation robots due ...

Prediction of the position of external markers using a recurrent neural network trained with unbiased online recurrent optimization for safe lung cancer radiotherapy.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: During lung cancer radiotherapy, the position of infrared reflective objects on the chest can be recorded to estimate the tumor location. However, radiotherapy systems have a latency inherent to robot control limitations tha...

A pipeline inspection robot for navigating tubular environments in the sub-centimeter scale.

Science robotics
In complex systems like aircraft engines and oil refinery machines, pipeline inspection is an essential task for ensuring safety. Here, we proposed a type of smart material-driven pipeline inspection robot (weight, 2.2 grams; length, 47 millimeters; ...

Optimization of Computer Web Page Interface Based on BP Neural Network Algorithm and Multimedia.

Computational intelligence and neuroscience
In web design, we need to make full use of computer multimedia technology, which can effectively improve the quality of web design and provide greater convenience. The neural network needs to calculate a large amount of training data in image optimiz...

Expedite Quantification of Landslides Using Wireless Sensors and Artificial Intelligence for Data Controlling Practices.

Computational intelligence and neuroscience
The power of wireless network sensor technologies has enabled the development of large-scale in-house monitoring systems. The sensor may play a big part in landslide forecasting where the sensor linked to the WLAN protocol can usefully map, detect, a...

Deep Learning Enabled Neck Motion Detection Using a Triboelectric Nanogenerator.

ACS nano
The state of neck motion reflects cervical health. To detect the motion state of the human neck is of important significance to healthcare intelligence. A practical neck motion detector should be wearable, flexible, power efficient, and low cost. Her...

Deep Learning Methods for Speed Estimation of Bipedal Motion from Wearable IMU Sensors.

Sensors (Basel, Switzerland)
The estimation of the speed of human motion from wearable IMU sensors is required in applications such as pedestrian dead reckoning. In this paper, we test deep learning methods for the prediction of the motion speed from raw readings of a low-cost I...