Multi-distance motion vector clustering algorithm for video-based sleep analysis

Adrienne Heinrich, Xin Zhao, Gerard de Haan

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)

Abstract

Overall health and daily functioning deteriorate with poor sleep. To improve one's sleep, sleep monitoring can help identifying causes of sleep problems. As an advantage over traditional wrist actigraphy used in home sleep monitoring solutions, video contains more comprehensive movement information. Particularly, different body movements can be distinguished which is beneficial for a more detailed sleep analysis. We developed an efficient K-Means clustering method with a multi-distance seeding technique to find the dominant cluster candidates. An integrated multi-distance dissimilarity measure was used for the subsequent clustering. We present an automatic content-dependent weight tuning method for the dissimilarity measure to balance between different distance descriptors. This discriminative algorithm partitions similar body movements in the same cluster. We were able to produce several dissimilarity measures producing clusters that agreed 67% with manual clustering of motion vectors by one expert. Similar clustering characteristics were preferred by both the five expert annotators and the suggested clustering algorithm. This gives us confidence that the proposed optimization method can be used in the future.

Original languageEnglish
Title of host publication2013 IEEE 15th International Conference on e-Health Networking, Applications and Services, Healthcom 2013
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages223-227
Number of pages5
ISBN (Electronic)978-1-4673-5801-9
DOIs
Publication statusPublished - 1 Dec 2013
Event2013 IEEE 15th International Conference on e-Health Networking, Applications and Services, Healthcom 2013 - Lisbon, Portugal
Duration: 9 Oct 201312 Oct 2013

Conference

Conference2013 IEEE 15th International Conference on e-Health Networking, Applications and Services, Healthcom 2013
Country/TerritoryPortugal
CityLisbon
Period9/10/1312/10/13

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