스마트폰 가속도계를 이용한 점프동작 자동인식 촬영
This paper proposes algorithms to detect jump motion and automatically take a picture when the jump reaches its top. Based on the algorithms, we build jump-shot system by using accelerometer-equipped smart phones. Since the jump motion may vary depending on one's physical condition, gender, and...
Saved in:
Published in | Chŏngbo Kwahakhoe nonmunji Vol. 41; no. 9; pp. 633 - 641 |
---|---|
Main Authors | , , , |
Format | Journal Article |
Language | Korean |
Published |
01.09.2014
|
Online Access | Get full text |
ISSN | 2383-630X 2383-6296 |
Cover
Abstract | This paper proposes algorithms to detect jump motion and automatically take a picture when the jump reaches its top. Based on the algorithms, we build jump-shot system by using accelerometer-equipped smart phones. Since the jump motion may vary depending on one's physical condition, gender, and age, it is critical to figure out common features which are independent from such differences. Also it is obvious that the detection algorithm needs to work in real-time because of the short duration of the jump. We propose two different algorithms considering these requirements and develop the system as a smart phone application. Through a series of experiments, we show that the system is able to successfully detect the jump motion and take a picture when it reaches the top. 본 논문에서는 자동으로 점프 동작을 인식하여 촬영하기 위한 점프 동작 인식 알고리즘을 제안하고, 가속도계가 장착된 스마트폰을 이용하여 촬영 시스템을 구현한다. 점프 동작은 개인의 신체적, 성별, 연령별 특성에 따라 다르기 때문에, 이들 특성에 비 의존적인 공통점을 감지할 수 있는 방법이 중요하다. 또한 점프 동작의 지속시간을 고려할 때 감지 알고리즘의 실시간 동작 가능성도 고려되어야 한다. 본 논문에서는 이를 고려한 두 가지 알고리즘을 제안하며, 이들을 스마트폰 어플리케이션으로 구현하여 촬영 실험을 진행하였다. 실험 결과 점프 동작 감지와 도약 동작을 포착한 사진 촬영이 가능하였다. |
---|---|
AbstractList | This paper proposes algorithms to detect jump motion and automatically take a picture when the jump reaches its top. Based on the algorithms, we build jump-shot system by using accelerometer-equipped smart phones. Since the jump motion may vary depending on one's physical condition, gender, and age, it is critical to figure out common features which are independent from such differences. Also it is obvious that the detection algorithm needs to work in real-time because of the short duration of the jump. We propose two different algorithms considering these requirements and develop the system as a smart phone application. Through a series of experiments, we show that the system is able to successfully detect the jump motion and take a picture when it reaches the top. 본 논문에서는 자동으로 점프 동작을 인식하여 촬영하기 위한 점프 동작 인식 알고리즘을 제안하고, 가속도계가 장착된 스마트폰을 이용하여 촬영 시스템을 구현한다. 점프 동작은 개인의 신체적, 성별, 연령별 특성에 따라 다르기 때문에, 이들 특성에 비 의존적인 공통점을 감지할 수 있는 방법이 중요하다. 또한 점프 동작의 지속시간을 고려할 때 감지 알고리즘의 실시간 동작 가능성도 고려되어야 한다. 본 논문에서는 이를 고려한 두 가지 알고리즘을 제안하며, 이들을 스마트폰 어플리케이션으로 구현하여 촬영 실험을 진행하였다. 실험 결과 점프 동작 감지와 도약 동작을 포착한 사진 촬영이 가능하였다. |
Author | Jun, Kyungkoo 최경윤 전경구 Choi, Kyungyoon |
Author_xml | – sequence: 1 fullname: 최경윤 – sequence: 2 fullname: 전경구 – sequence: 3 fullname: Choi, Kyungyoon – sequence: 4 fullname: Jun, Kyungkoo |
BookMark | eNrjYmDJy89LZWLgNDK2MNY1M7I0Y4GxjQ0iOBh4i4szkwyMDC2MTCwsjTgZ3N90LXm9vONt1463_RsUXm1oeNPW-7q_5dXmltdL9yi8mbvlzayVb6fOUXizYMLbKS2v-2e-mTdR4c28CSDW3B1vuucqvNmy5s2MRh4G1rTEnOJUXijNzRDi5hri7KHr4-_u6ezoo5sNdItuaoqhpVlamoVZkqmJaWpSklmKmYWBebJ5SopRoqFloplhmqFlSpJJUrJRirlpcpJFSnIyUMw8McU42dTc2CzJmJtBFWJsdmZxSWZ8XkpxTryXo7e_kYGhiZG5qbGloSGQYWQMAP31YAM |
ContentType | Journal Article |
DBID | JDI |
DEWEY | 005 |
DatabaseName | KoreaScience |
DatabaseTitleList | |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Library & Information Science Computer Science |
EISSN | 2383-6296 |
EndPage | 641 |
ExternalDocumentID | JAKO201427539111422 |
GroupedDBID | ALMA_UNASSIGNED_HOLDINGS JDI |
ID | FETCH-LOGICAL-k629-ed196ff86b545ebb6d6807c7dd2a19a61f19db4bc2d75cb8dcc61f7ad3c5736b3 |
ISSN | 2383-630X |
IngestDate | Fri Dec 22 11:59:37 EST 2023 |
IsOpenAccess | true |
IsPeerReviewed | false |
IsScholarly | false |
Issue | 9 |
Language | Korean |
LinkModel | OpenURL |
MergedId | FETCHMERGED-LOGICAL-k629-ed196ff86b545ebb6d6807c7dd2a19a61f19db4bc2d75cb8dcc61f7ad3c5736b3 |
Notes | KISTI1.1003/JNL.JAKO201427539111422 |
OpenAccessLink | http://click.ndsl.kr/servlet/LinkingDetailView?cn=JAKO201427539111422&dbt=JAKO&org_code=O481&site_code=SS1481&service_code=01 |
PageCount | 9 |
ParticipantIDs | kisti_ndsl_JAKO201427539111422 |
PublicationCentury | 2000 |
PublicationDate | 2014-09 |
PublicationDateYYYYMMDD | 2014-09-01 |
PublicationDate_xml | – month: 09 year: 2014 text: 2014-09 |
PublicationDecade | 2010 |
PublicationTitle | Chŏngbo Kwahakhoe nonmunji |
PublicationTitleAlternate | Journal of KIISE |
PublicationYear | 2014 |
SSID | ssib021824892 ssib053377434 ssib044742769 ssj0000579380 |
Score | 1.5420316 |
Snippet | This paper proposes algorithms to detect jump motion and automatically take a picture when the jump reaches its top. Based on the algorithms, we build... |
SourceID | kisti |
SourceType | Open Access Repository |
StartPage | 633 |
Title | 스마트폰 가속도계를 이용한 점프동작 자동인식 촬영 |
URI | http://click.ndsl.kr/servlet/LinkingDetailView?cn=JAKO201427539111422&dbt=JAKO&org_code=O481&site_code=SS1481&service_code=01 |
Volume | 41 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnR3LihNBsIl78uJjVXztMgfbS4jMo2em-ziTzLpkWb1E2NuSnodZoxnQBFkPohBEViQrKKiYxYMigocF97AHf8jN5B-s7nlkVhZ8XIZKdXWlOtWpqk6qqhG6QhiJmM91cTbhNSJqeyiLaI3TAGyfGpgWFfXOqzes5VukuWauVSo_S1lLgz6_5j86sq7kf7QKONCrqJL9B80WTAEBMOgXnqBheP6VjrFXx9TBDsGeix0bU4q9hsC4KbCEXbWKPXitiowGQW1h2hDUMEaJHDIkAPNN7Nargog1sEskALyZ4MRMzNIxRyRGSBTJ5gEnxiS1h5lWzSH18FhDygQCuABLIngLpy7HKE7vUyk6JnRw3YS5vds8rq48bHfa3U4cVntx796gd2cj3yOSiRBMLkPHbkNyAxlJmQQkzlaakjhi0qzjZL0TpwkNm2D2NuNZVkJz0Cvw3Tgu_zyikSL_K7OiEJIYNctQ11KHV8Lp6VW6uRsgWmm7s5JNt9JOHVl4YGV0hzp3_-ZRizzHprNyUwilw6FQeBWiQ7RwzNCEQV597OWGT3TRJ3T29zYhNkyxijgTQnKI0rM-fmnTejCr8lbAYnlwuBInjo1SdNQ6hU5kxxrFSffoaVTpxvPoZH5liJJ5kHm0kNXJKFeVrBBOfDvy8TPoerL1afLl-XRrfzraVQ52nyTPXk5Gw4Pvw8nnH0oy3kvef52--aAkH7enr4eT0btk55WS7GwLaLyfvBgryd635O3Ts6i15LXqy7Xsro9aFxRRCwPwBFFELQ4Rfci5FVhUtX07CPS2xtqWFmks4IT7emCbPhgS3wec3Q4M37QNixvn0BzswvA8UnSV6QHzZStNEtkm12mo62HI1JC0VZtfQIvyg1rvBQ_urh-hoYt_IriEjs922mU0178_CBcgNO3zRanWXytfffQ |
linkProvider | ISSN International Centre |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=%EC%8A%A4%EB%A7%88%ED%8A%B8%ED%8F%B0+%EA%B0%80%EC%86%8D%EB%8F%84%EA%B3%84%EB%A5%BC+%EC%9D%B4%EC%9A%A9%ED%95%9C+%EC%A0%90%ED%94%84%EB%8F%99%EC%9E%91+%EC%9E%90%EB%8F%99%EC%9D%B8%EC%8B%9D+%EC%B4%AC%EC%98%81&rft.jtitle=Ch%C5%8Fngbo+Kwahakhoe+nonmunji&rft.au=%EC%B5%9C%EA%B2%BD%EC%9C%A4&rft.au=%EC%A0%84%EA%B2%BD%EA%B5%AC&rft.au=Choi%2C+Kyungyoon&rft.au=Jun%2C+Kyungkoo&rft.date=2014-09-01&rft.issn=2383-630X&rft.eissn=2383-6296&rft.volume=41&rft.issue=9&rft.spage=633&rft.epage=641&rft.externalDBID=n%2Fa&rft.externalDocID=JAKO201427539111422 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2383-630X&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2383-630X&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2383-630X&client=summon |