|

Application of the position determination method for detecting human limbs

Authors: Solntseva A.D, Solntsev D.S., Borde A.S.
Published in issue: #8(49)/2020
DOI: 10.18698/2541-8009-2020-8-632


Category: Medical sciences | Chapter: Medical equipment and devices

Keywords: posture assessment, neural networks, diagnostics, machine learning, pattern recognition, digital image processing, artificial intelligence, computer vision
Published: 03.09.2020

The paper considers an actual problem of computer vision for limb recognition. The possibility of positioning the end link of a robotic manipulator with an ultrasonic sensor attached to it using computer vision algorithms has been investigated. The possibility of operation of the human - machine interface with negative feedback is analyzed, due to which it is possible to control the maximum pressing force of the ultrasonic sensor on the patient’s body using automated visualization of the study area, as well as an algorithm for calculating the input parameters. The presented method will be in demand for further surgical or diagnostic procedures.


References

[1] Tikhomirov A.V. Problems of legal assessment of health harm in healthcare. Meditsinskaya ekspertiza i pravo, 2009, no. 2, pp. 15–21 (in Russ.).

[2] Ul’trazvukovoe issledovanie [Ultrasonography]. who.int: website (in Russ.). URL: https://www.who.int/diagnostic_imaging/imaging_modalities/dim_ultrasound/ru (accessed: 17.11.2018).

[3] Toshev A., Szegedy C. Deeppose: Human pose estimation via deep neural networks. Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2014, pp. 1653–1660. DOI: https://doi.org/10.1109/CVPR.2014.214

[4] Taylor R. H. et al. Medical robotics and computer-integrated surgery. In: Springer handbook of robotics. Springer, Cham, 2016, pp. 1657–1684.

[5] Deep learning based human pose estimation using OpenCV. learnopencv.com: website. URL: https://www.learnopencv.com/deep-learning-based-human-pose-estimation-using-opencv-cpp-python/ (accessed: 17.05.2019).

[6] Zwiebel W.J., Pellerito J.S. Introduction to vascular ultrasonography. Saunders, 2005. (Russ. ed.: Ul’trazvukovoe issledovanie sosudov. Moscow, Vidar Publ., 2008.)

[7] McNally E. Practical Musculoskeletal Ultrasound. Churchill Livingstone, 2004. (Russ. ed.: Ul’trazvukovye issledovaniya kostno-myshechnoy sistemy. Moscow, Vidar Publ., 2007.)

[8] Chernous’ko F.L., Bolotnik N.N., Gradetskiy V.G. Manipulyatsionnye roboty: dinamika, upravlenie, optimizatsiya [Manipulation robots. Dynamics, control, and optimization]. Moscow, Nauka Publ., 1989 (in Russ.).

[9] Burdakov S.F., D’yachenko V.A., Timofeev A.N. Proektirovanie manipulyatorov promyshlennykh robotov i robotizirovannykh kompleksov [Design of manipulators for industrial robots and robotic cells]. Moscow, Vysshaya shkola Publ., 1986 (in Russ.).

[10] Ul’trazvukovoe issledovanie [Ultrasonography]. tomography.ru: website (in Russ.). URL: http://www.tomography.ru/main.php?key=uzi (accessed: 17.11.2018).