ISBN:
9781728113371
Content:
In this work, a feedback system for biomechanical load analysis based on joint angles and execution duration of recognized motions is described. For automatic analysis, the system must be set up by experts for the respective application case. The system can be trained individually to recognize motion sequences and parameterized with critical joint angle ranges and times for the evaluation. The system processes Cartesian joint positions, which can be captured by different types of motion tracking systems. The data processing steps filtering, normalization, feature extraction, classification, and segmentation are described. For classification, a Support Vector Machine with polynomial kernel is used that achieves a recognition accuracy up to 87% for 19 different gymnastic motions. In conclusion, a system with an associated user interface is shown, which is able to assist and analyze the user in motion sequences.
In:
IEEE International Conference on Information Reuse and Integration for Data Science (20. : 2019 : Los Angeles, Calif.), 2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science - IRI 2019, Piscataway, NJ : IEEE, 2019, (2019), Seite 39-46, 9781728113371
In:
year:2019
In:
pages:39-46
Language:
English
DOI:
10.1109/IRI.2019.00020
URL:
https://doi.org/10.1109/IRI.2019.00020
Author information:
Wallhoff, Frank 1971-
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