Neural network algorithm for predicting human speed based on computer vision and machine learning
The problem of increasing the accuracy of predicting human actions is an urgent task for various human-machine systems. The study examines the solution to the problem of predicting human speed using neural network algorithms, computer vision technologies, and machine learning. The formalization and...
Main Authors: | Obukhov Artem, Teselkin Daniil, Surkova Ekaterina, Komissarov Artem, Shilcin Maxim |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2024-01-01
|
Series: | ITM Web of Conferences |
Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2024/02/itmconf_hmmocs2023_03003.pdf |
Similar Items
-
Optimization of human tracking systems in virtual reality based on a neural network approach
by: Artem D. Obukhov, et al.
Published: (2023-08-01) -
Examination of the Accuracy of Movement Tracking Systems for Monitoring Exercise for Musculoskeletal Rehabilitation
by: Artem Obukhov, et al.
Published: (2023-09-01) -
Modeling of Nonlinear Dynamic Processes of Human Movement in Virtual Reality Based on Digital Shadows
by: Artem Obukhov, et al.
Published: (2023-04-01) -
Method for Assessing the Influence of Phobic Stimuli in Virtual Simulators
by: Artem Obukhov, et al.
Published: (2023-09-01) -
Method of automatic search for the structure and parameters of neural networks for solving information processing problems
by: Obukhov, Artem D.
Published: (2023-03-01)