Range-based algorithm for posture classification and fall-down detection in smart homecare system

Konlakorn Wongpatikaseree; Azman Osman Lim; Yasuo Tan; Hideaki Kanai

doi:10.1109/GCCE.2012.6379591

Range-based algorithm for posture classification and fall-down detection in smart homecare system

Konlakorn Wongpatikaseree
, Azman Osman Lim
, Yasuo Tan
, Hideaki Kanai

Japan Advanced Institute of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

11 Citations (Scopus)

Abstract

Human posture classification is one of the most challenging issues in smart homecare system. To achieve high classification accuracy, we propose a new algorithm, called range-based algorithm. In this paper, a range means the distance between body parts. The ranges between body parts are investigated to classify the human posture and to detect a possible fall-down accident. Furthermore, we also proposed an adaptive posture window scheme to recognize the human posture in real-time even though human change the posture in different speed. The results reveal that our proposed can classify the human posture and detect fall-down with high accuracy and reliability.

Original language	English
Title of host publication	1st IEEE Global Conference on Consumer Electronics 2012, GCCE 2012
Pages	243-247
Number of pages	5
DOIs	https://doi.org/10.1109/GCCE.2012.6379591
Publication status	Published - 2012
Externally published	Yes
Event	1st IEEE Global Conference on Consumer Electronics, GCCE 2012 - Tokyo, Japan Duration: 2 Oct 2012 → 5 Oct 2012

Publication series

Name	1st IEEE Global Conference on Consumer Electronics 2012, GCCE 2012

Conference

Conference	1st IEEE Global Conference on Consumer Electronics, GCCE 2012
Country/Territory	Japan
City	Tokyo
Period	2/10/12 → 5/10/12

Keywords

Human posture classification
fall-down detection
range-based algorithm
smart homecare system

Access to Document

10.1109/GCCE.2012.6379591

Cite this

Wongpatikaseree, K., Lim, A. O., Tan, Y., & Kanai, H. (2012). Range-based algorithm for posture classification and fall-down detection in smart homecare system. In 1st IEEE Global Conference on Consumer Electronics 2012, GCCE 2012 (pp. 243-247). Article 6379591 (1st IEEE Global Conference on Consumer Electronics 2012, GCCE 2012). https://doi.org/10.1109/GCCE.2012.6379591

@inproceedings{571a0da5f6e74eb7a2e06c6f5b082c66,

title = "Range-based algorithm for posture classification and fall-down detection in smart homecare system",

abstract = "Human posture classification is one of the most challenging issues in smart homecare system. To achieve high classification accuracy, we propose a new algorithm, called range-based algorithm. In this paper, a range means the distance between body parts. The ranges between body parts are investigated to classify the human posture and to detect a possible fall-down accident. Furthermore, we also proposed an adaptive posture window scheme to recognize the human posture in real-time even though human change the posture in different speed. The results reveal that our proposed can classify the human posture and detect fall-down with high accuracy and reliability.",

keywords = "Human posture classification, fall-down detection, range-based algorithm, smart homecare system",

author = "Konlakorn Wongpatikaseree and Lim, \{Azman Osman\} and Yasuo Tan and Hideaki Kanai",

year = "2012",

doi = "10.1109/GCCE.2012.6379591",

language = "English",

isbn = "9781467315005",

series = "1st IEEE Global Conference on Consumer Electronics 2012, GCCE 2012",

pages = "243--247",

booktitle = "1st IEEE Global Conference on Consumer Electronics 2012, GCCE 2012",

note = "1st IEEE Global Conference on Consumer Electronics, GCCE 2012 ; Conference date: 02-10-2012 Through 05-10-2012",

}

Wongpatikaseree, K, Lim, AO, Tan, Y & Kanai, H 2012, Range-based algorithm for posture classification and fall-down detection in smart homecare system. in 1st IEEE Global Conference on Consumer Electronics 2012, GCCE 2012., 6379591, 1st IEEE Global Conference on Consumer Electronics 2012, GCCE 2012, pp. 243-247, 1st IEEE Global Conference on Consumer Electronics, GCCE 2012, Tokyo, Japan, 2/10/12. https://doi.org/10.1109/GCCE.2012.6379591

Range-based algorithm for posture classification and fall-down detection in smart homecare system. / Wongpatikaseree, Konlakorn; Lim, Azman Osman; Tan, Yasuo et al.
1st IEEE Global Conference on Consumer Electronics 2012, GCCE 2012. 2012. p. 243-247 6379591 (1st IEEE Global Conference on Consumer Electronics 2012, GCCE 2012).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Range-based algorithm for posture classification and fall-down detection in smart homecare system

AU - Wongpatikaseree, Konlakorn

AU - Lim, Azman Osman

AU - Tan, Yasuo

AU - Kanai, Hideaki

PY - 2012

Y1 - 2012

N2 - Human posture classification is one of the most challenging issues in smart homecare system. To achieve high classification accuracy, we propose a new algorithm, called range-based algorithm. In this paper, a range means the distance between body parts. The ranges between body parts are investigated to classify the human posture and to detect a possible fall-down accident. Furthermore, we also proposed an adaptive posture window scheme to recognize the human posture in real-time even though human change the posture in different speed. The results reveal that our proposed can classify the human posture and detect fall-down with high accuracy and reliability.

AB - Human posture classification is one of the most challenging issues in smart homecare system. To achieve high classification accuracy, we propose a new algorithm, called range-based algorithm. In this paper, a range means the distance between body parts. The ranges between body parts are investigated to classify the human posture and to detect a possible fall-down accident. Furthermore, we also proposed an adaptive posture window scheme to recognize the human posture in real-time even though human change the posture in different speed. The results reveal that our proposed can classify the human posture and detect fall-down with high accuracy and reliability.

KW - Human posture classification

KW - fall-down detection

KW - range-based algorithm

KW - smart homecare system

UR - https://www.scopus.com/pages/publications/84872331648

U2 - 10.1109/GCCE.2012.6379591

DO - 10.1109/GCCE.2012.6379591

M3 - Conference contribution

AN - SCOPUS:84872331648

SN - 9781467315005

T3 - 1st IEEE Global Conference on Consumer Electronics 2012, GCCE 2012

SP - 243

EP - 247

BT - 1st IEEE Global Conference on Consumer Electronics 2012, GCCE 2012

T2 - 1st IEEE Global Conference on Consumer Electronics, GCCE 2012

Y2 - 2 October 2012 through 5 October 2012

ER -

Range-based algorithm for posture classification and fall-down detection in smart homecare system

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Keywords

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