Real-time haptic interaction with RGBD video streams

2016 ◽  
Vol 32 (10) ◽  
pp. 1311-1321 ◽  
Author(s):  
Shahzad Rasool ◽  
Alexei Sourin
2021 ◽  
Vol 11 (11) ◽  
pp. 4758
Author(s):  
Ana Malta ◽  
Mateus Mendes ◽  
Torres Farinha

Maintenance professionals and other technical staff regularly need to learn to identify new parts in car engines and other equipment. The present work proposes a model of a task assistant based on a deep learning neural network. A YOLOv5 network is used for recognizing some of the constituent parts of an automobile. A dataset of car engine images was created and eight car parts were marked in the images. Then, the neural network was trained to detect each part. The results show that YOLOv5s is able to successfully detect the parts in real time video streams, with high accuracy, thus being useful as an aid to train professionals learning to deal with new equipment using augmented reality. The architecture of an object recognition system using augmented reality glasses is also designed.


Author(s):  
Kunhui Lin ◽  
Jiyong Huang ◽  
Jiawei Chen ◽  
Changle Zhou

2016 ◽  
Vol 77 ◽  
pp. 98-106 ◽  
Author(s):  
A. Aguilera ◽  
F.J. Melero ◽  
F.R. Feito
Keyword(s):  

2006 ◽  
Vol 18 (05) ◽  
pp. 229-236 ◽  
Author(s):  
MING-SHIUM HSIEH ◽  
MING-DAR TSAI ◽  
YI-DER YEH

This paper describes a haptic device equipped surgical simulator that provides visual and haptic responses for amputation surgery. This simulator, based on our reported volume (constituted from CT slices) manipulation algorithms, can compute and demonstrate bone changes for the procedures in various orthopedic surgeries. The system is equipped with a haptic device. The position and attitude the haptic device are transformed into the volume to simulate and render the oscillating virtual saw together with the virtual bones. The system then judges if every saw tooth immersing in (cutting) any bone. The load for removing the bone chip on a cutting tooth is calculated according to the feed rate, oscillating speed, saw geometry and bone type. The loads on all the saw teeth are then summed into the three positional forces that the haptic device generates and thus the user feels. The system provides real-time visual and haptic refresh speeds for the sawing procedures. A simulation example of amputation surgery demonstrates the sawing haptic and visual feelings of the sawing procedure are consistent and the simulated sawing force resembles the real force. Therefore, this prototype simulator demonstrates the effectiveness as a surgical simulator to rehearsal the surgical procedures, confirm surgical plains and train interns and students.


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