Selection of Relevant Parameters for Human Locomotion Unsupervised Classification
A method for the automatic selection of the most relevant parameters for human locomotion classification is proposed. A set of 36 statistical parameters extracted from video sequences showing three basic movement types is used. Because the unsupervised classification is based on the k-means clusteri...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Publishing House of the Romanian Academy
2018-11-01
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| Series: | Memoirs of the Scientific Sections of the Romanian Academy |
| Subjects: | |
| Online Access: | http://mss.academiaromana-is.ro/mem_sc_st_2018/2_Bejinariu_Luca%20%20MSS_2018.pdf |