Identifying the confidence level of activity recognition via HMM
A context-based method to identify the confidence level of activ recognition was proposed,referred to as S-HMM(sliding window hidden Markov model),which reduced the confusion rate and facilitated the transfer learning.With S-HMM,the activity recognition sequence was modeled as HMM(hidden Markov mode...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2016-05-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016102/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850123251590627328 |
|---|---|
| author | Chang-hai WANG Jian-zhong ZHANG Jing-dong XU Yu-wei XU |
| author_facet | Chang-hai WANG Jian-zhong ZHANG Jing-dong XU Yu-wei XU |
| author_sort | Chang-hai WANG |
| collection | DOAJ |
| description | A context-based method to identify the confidence level of activ recognition was proposed,referred to as S-HMM(sliding window hidden Markov model),which reduced the confusion rate and facilitated the transfer learning.With S-HMM,the activity recognition sequence was modeled as HMM(hidden Markov model)and the corresponding probability was adopted as the confidence level.This ,S-HMM removed the dependency of the confidence level on the sample distribution in the feature space.S-HMM is extensively evaluated based on real-life activity data,demonstrat-ing a reduced confusion rate of 37% when compared to the state-of-the-art methods. |
| format | Article |
| id | doaj-art-1905d6d7a28d4e57a609e45a0c226fed |
| institution | OA Journals |
| issn | 1000-436X |
| language | zho |
| publishDate | 2016-05-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-1905d6d7a28d4e57a609e45a0c226fed2025-08-20T02:34:39ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-05-013714315159701203Identifying the confidence level of activity recognition via HMMChang-hai WANGJian-zhong ZHANGJing-dong XUYu-wei XUA context-based method to identify the confidence level of activ recognition was proposed,referred to as S-HMM(sliding window hidden Markov model),which reduced the confusion rate and facilitated the transfer learning.With S-HMM,the activity recognition sequence was modeled as HMM(hidden Markov model)and the corresponding probability was adopted as the confidence level.This ,S-HMM removed the dependency of the confidence level on the sample distribution in the feature space.S-HMM is extensively evaluated based on real-life activity data,demonstrat-ing a reduced confusion rate of 37% when compared to the state-of-the-art methods.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016102/activity recognitionhidden Markov modelconfusion rateconfidence level |
| spellingShingle | Chang-hai WANG Jian-zhong ZHANG Jing-dong XU Yu-wei XU Identifying the confidence level of activity recognition via HMM Tongxin xuebao activity recognition hidden Markov model confusion rate confidence level |
| title | Identifying the confidence level of activity recognition via HMM |
| title_full | Identifying the confidence level of activity recognition via HMM |
| title_fullStr | Identifying the confidence level of activity recognition via HMM |
| title_full_unstemmed | Identifying the confidence level of activity recognition via HMM |
| title_short | Identifying the confidence level of activity recognition via HMM |
| title_sort | identifying the confidence level of activity recognition via hmm |
| topic | activity recognition hidden Markov model confusion rate confidence level |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016102/ |
| work_keys_str_mv | AT changhaiwang identifyingtheconfidencelevelofactivityrecognitionviahmm AT jianzhongzhang identifyingtheconfidencelevelofactivityrecognitionviahmm AT jingdongxu identifyingtheconfidencelevelofactivityrecognitionviahmm AT yuweixu identifyingtheconfidencelevelofactivityrecognitionviahmm |