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Range-based algorithm for posture classification and fall-down detection in smart homecare system
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...
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| creator | Wongpatikaseree, K. Lim, A. O. Yasuo Tan Kanai, H. |
| description | 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. |
| doi_str_mv | 10.1109/GCCE.2012.6379591 |
| format | conference_proceeding |
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The results reveal that our proposed can classify the human posture and detect fall-down with high accuracy and reliability.</description><subject>Accuracy</subject><subject>Algorithm design and analysis</subject><subject>Classification algorithms</subject><subject>fall-down detection</subject><subject>Human posture classification</subject><subject>Humans</subject><subject>Medical services</subject><subject>Monitoring</subject><subject>range-based algorithm</subject><subject>Sensors</subject><subject>smart homecare system</subject><issn>2378-8143</issn><issn>2693-0854</issn><isbn>1467315001</isbn><isbn>9781467315005</isbn><isbn>1467314986</isbn><isbn>9781467314992</isbn><isbn>146731501X</isbn><isbn>9781467315012</isbn><isbn>9781467314985</isbn><isbn>1467314994</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo1UNlKAzEUjRtYaz9AfMkPpN4sM5M8ylCrUBBEn8udyU0bmaVMRqR_76D16cDZOBzG7iQspQT3sC7L1VKBVMtcFy5z8ozdSJMXWhpn83M2U7nTAmxmLv6FDEBeToIurLDS6Gu2SOkTAFQGyuVqxvANux2JChN5js2uH-K4b3noB37o0_g1EK8bTCmGWOMY-45j53nAphG-_-64p5HqXz52PLU4jHzft1TjFEzHNFJ7y64me6LFCefs42n1Xj6Lzev6pXzciKgARhG010EHgxmgdj5IhbaqSRbK2Mrm5J2Uvg5GOcoqIPROQchNyNCTKnyl5-z-rzcS0fYwxGnMcXu6Sv8AUgpbQw</recordid><startdate>201210</startdate><enddate>201210</enddate><creator>Wongpatikaseree, K.</creator><creator>Lim, A. 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O.</creatorcontrib><creatorcontrib>Yasuo Tan</creatorcontrib><creatorcontrib>Kanai, H.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Wongpatikaseree, K.</au><au>Lim, A. O.</au><au>Yasuo Tan</au><au>Kanai, H.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Range-based algorithm for posture classification and fall-down detection in smart homecare system</atitle><btitle>The 1st IEEE Global Conference on Consumer Electronics 2012</btitle><stitle>GCCE</stitle><date>2012-10</date><risdate>2012</risdate><spage>243</spage><epage>247</epage><pages>243-247</pages><issn>2378-8143</issn><eissn>2693-0854</eissn><isbn>1467315001</isbn><isbn>9781467315005</isbn><eisbn>1467314986</eisbn><eisbn>9781467314992</eisbn><eisbn>146731501X</eisbn><eisbn>9781467315012</eisbn><eisbn>9781467314985</eisbn><eisbn>1467314994</eisbn><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.</abstract><pub>IEEE</pub><doi>10.1109/GCCE.2012.6379591</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 2378-8143 |
| ispartof | The 1st IEEE Global Conference on Consumer Electronics 2012, 2012, p.243-247 |
| issn | 2378-8143 2693-0854 |
| language | eng |
| recordid | cdi_ieee_primary_6379591 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Accuracy Algorithm design and analysis Classification algorithms fall-down detection Human posture classification Humans Medical services Monitoring range-based algorithm Sensors smart homecare system |
| title | Range-based algorithm for posture classification and fall-down detection in smart homecare system |
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