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        <datestamp>2025-01-20T18:05:56Z</datestamp>
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          <dc:title>Multi-sensor-based Ambient Sensing System for the Estimation of Comfort/Discomfort to Lighting Condition During Desk Work</dc:title>
          <dc:title xml:lang="en">Multi-sensor-based Ambient Sensing System for the Estimation of Comfort/Discomfort to Lighting Condition During Desk Work</dc:title>
          <jpcoar:creator>
            <jpcoar:creatorName>Kengo, Yoshimizu</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName>Noriko, Takemura</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName>Yoshio, Iwai</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName>Kosuke, Sato</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Kengo, Yoshimizu</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Noriko, Takemura</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Yoshio, Iwai</jpcoar:creatorName>
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          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Kosuke, Sato</jpcoar:creatorName>
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          <jpcoar:subject subjectScheme="Other">[Special Issue on E-Service and Knowledge Management toward Smart Computing Society] ambient sensing, multi-sensor system, estimation of comfort/discomfort, smart sensing technology</jpcoar:subject>
          <datacite:description descriptionType="Other">A multi-sensor-based ambient sensing system is proposed for estimating the user's comfort/discomfort in response to the lighting condition during desk work. The user's comfort/discomfort is estimated according to facial expression, body sway, writing motion and frequency of drinking measured by sensors embedded in the environment. The recognition rate of the user's comfort/discomfort under the lighting condition that induces different feelings of comfort depending on the user's state of the day is evaluated in an experimental environment. As a result, the recognition rate of the user's comfort/discomfort on a two-point scale is 91% when selecting a suitable combination of ambient sensors. Furthermore, it is suggested that not only information of facial expression but also the information of body sway, writing motion and frequency of drinking is useful for the estimation of comfort/discomfort.</datacite:description>
          <datacite:description descriptionType="Other">A multi-sensor-based ambient sensing system is proposed for estimating the user's comfort/discomfort in response to the lighting condition during desk work. The user's comfort/discomfort is estimated according to facial expression, body sway, writing motion and frequency of drinking measured by sensors embedded in the environment. The recognition rate of the user's comfort/discomfort under the lighting condition that induces different feelings of comfort depending on the user's state of the day is evaluated in an experimental environment. As a result, the recognition rate of the user's comfort/discomfort on a two-point scale is 91% when selecting a suitable combination of ambient sensors. Furthermore, it is suggested that not only information of facial expression but also the information of body sway, writing motion and frequency of drinking is useful for the estimation of comfort/discomfort.</datacite:description>
          <dc:publisher xml:lang="ja">情報処理学会</dc:publisher>
          <datacite:date dateType="Issued">2015-11-15</datacite:date>
          <dc:language>eng</dc:language>
          <dc:type rdf:resource="http://purl.org/coar/resource_type/c_6501">journal article</dc:type>
          <jpcoar:identifier identifierType="URI">https://ipsj.ixsq.nii.ac.jp/records/146119</jpcoar:identifier>
          <jpcoar:sourceIdentifier identifierType="ISSN">1882-6652</jpcoar:sourceIdentifier>
          <jpcoar:sourceIdentifier identifierType="NCID">AA00700121</jpcoar:sourceIdentifier>
          <jpcoar:sourceTitle>Journal of information processing</jpcoar:sourceTitle>
          <jpcoar:volume>23</jpcoar:volume>
          <jpcoar:issue>6</jpcoar:issue>
          <jpcoar:pageStart>776</jpcoar:pageStart>
          <jpcoar:pageEnd>783</jpcoar:pageEnd>
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            <jpcoar:extent>2.8 MB</jpcoar:extent>
            <datacite:date dateType="Available">2017-11-15</datacite:date>
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