Imputation of Incomplete Motion Data Using Hidden Markov Models

被引：0
|
作者：
Uvarov, V. E. [1 ]
Popov, A. A. [1 ]
Gultyaeva, T. A. [1 ]
机构：
[1] Novosibirsk State Tech Univ, Novosibirsk, Russia
来源：
XII INTERNATIONAL SCIENTIFIC AND TECHNICAL CONFERENCE APPLIED MECHANICS AND SYSTEMS DYNAMICS | 2019年 / 1210卷
关键词：
D O I：
10.1088/1742-6596/1210/1/012151
中图分类号：
O3 [力学];
学科分类号：
08 ; 0801 ;
摘要：
The modified Viterbi algorithm for imputation of incomplete sequences using hidden Markov models is presented. It is applied to the problem of imputation of incomplete motion data. It is shown that modified Viterbi algorithm outperforms imputation of gaps with the mean of neighbor observations.
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收藏
页数：5
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