DROWSINESS PREDICTION SYSTEM AND DROWSINESS PREDICTION METHOD
To improve accuracy for predicting drowsiness of an occupant of a vehicle.SOLUTION: A drowsiness prediction system 100 includes a life log acquisition unit 13, a route information acquisition unit 12, and a drowsiness prediction unit 14. The life log acquisition unit 13 acquires a life log including...
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| creator | TAKAHASHI MOMOHA MATSUSE TETSURO NAKAJIMA HISASHI |
| description | To improve accuracy for predicting drowsiness of an occupant of a vehicle.SOLUTION: A drowsiness prediction system 100 includes a life log acquisition unit 13, a route information acquisition unit 12, and a drowsiness prediction unit 14. The life log acquisition unit 13 acquires a life log including at least a wake-up time and a boarding time of an occupant of a vehicle. The route information acquisition unit 12 acquires route information related to a route to a destination of the vehicle. The drowsiness predicting unit 14 predicts a drowsiness level of the occupant while riding on the vehicle based on the life log and the route information.SELECTED DRAWING: Figure 1
【課題】車両の乗員の眠気を予測する精度の向上を図ること。【解決手段】眠気予測システム１００は、生活ログ取得部１３と、経路情報取得部１２と、眠気予測部１４と、を備える。生活ログ取得部１３は、車両の乗員の起床時刻及び乗車時刻を少なくとも含む生活ログを取得する。経路情報取得部１２は、車両の目的地までの経路に関する経路情報を取得する。眠気予測部１４は、生活ログと、経路情報とに基づいて、車両の乗車中における乗員の眠気レベルを予測する。【選択図】図１ |
| format | Patent |
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【課題】車両の乗員の眠気を予測する精度の向上を図ること。【解決手段】眠気予測システム１００は、生活ログ取得部１３と、経路情報取得部１２と、眠気予測部１４と、を備える。生活ログ取得部１３は、車両の乗員の起床時刻及び乗車時刻を少なくとも含む生活ログを取得する。経路情報取得部１２は、車両の目的地までの経路に関する経路情報を取得する。眠気予測部１４は、生活ログと、経路情報とに基づいて、車両の乗車中における乗員の眠気レベルを予測する。【選択図】図１</description><language>eng ; jpn</language><subject>GYROSCOPIC INSTRUMENTS ; MEASURING ; MEASURING DISTANCES, LEVELS OR BEARINGS ; NAVIGATION ; PHOTOGRAMMETRY OR VIDEOGRAMMETRY ; PHYSICS ; SIGNALLING ; SURVEYING ; TESTING ; TRAFFIC CONTROL SYSTEMS</subject><creationdate>2023</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230313&DB=EPODOC&CC=JP&NR=2023035803A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230313&DB=EPODOC&CC=JP&NR=2023035803A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>TAKAHASHI MOMOHA</creatorcontrib><creatorcontrib>MATSUSE TETSURO</creatorcontrib><creatorcontrib>NAKAJIMA HISASHI</creatorcontrib><title>DROWSINESS PREDICTION SYSTEM AND DROWSINESS PREDICTION METHOD</title><description>To improve accuracy for predicting drowsiness of an occupant of a vehicle.SOLUTION: A drowsiness prediction system 100 includes a life log acquisition unit 13, a route information acquisition unit 12, and a drowsiness prediction unit 14. The life log acquisition unit 13 acquires a life log including at least a wake-up time and a boarding time of an occupant of a vehicle. The route information acquisition unit 12 acquires route information related to a route to a destination of the vehicle. The drowsiness predicting unit 14 predicts a drowsiness level of the occupant while riding on the vehicle based on the life log and the route information.SELECTED DRAWING: Figure 1
【課題】車両の乗員の眠気を予測する精度の向上を図ること。【解決手段】眠気予測システム１００は、生活ログ取得部１３と、経路情報取得部１２と、眠気予測部１４と、を備える。生活ログ取得部１３は、車両の乗員の起床時刻及び乗車時刻を少なくとも含む生活ログを取得する。経路情報取得部１２は、車両の目的地までの経路に関する経路情報を取得する。眠気予測部１４は、生活ログと、経路情報とに基づいて、車両の乗車中における乗員の眠気レベルを予測する。【選択図】図１</description><subject>GYROSCOPIC INSTRUMENTS</subject><subject>MEASURING</subject><subject>MEASURING DISTANCES, LEVELS OR BEARINGS</subject><subject>NAVIGATION</subject><subject>PHOTOGRAMMETRY OR VIDEOGRAMMETRY</subject><subject>PHYSICS</subject><subject>SIGNALLING</subject><subject>SURVEYING</subject><subject>TESTING</subject><subject>TRAFFIC CONTROL SYSTEMS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLB1CfIPD_b0cw0OVggIcnXxdA7x9PdTCI4MDnH1VXD0c1HArsDXNcTD34WHgTUtMac4lRdKczMoubmGOHvophbkx6cWFyQmp-allsR7BRgZGBkbGJtaGBg7GhOlCADH-irJ</recordid><startdate>20230313</startdate><enddate>20230313</enddate><creator>TAKAHASHI MOMOHA</creator><creator>MATSUSE TETSURO</creator><creator>NAKAJIMA HISASHI</creator><scope>EVB</scope></search><sort><creationdate>20230313</creationdate><title>DROWSINESS PREDICTION SYSTEM AND DROWSINESS PREDICTION METHOD</title><author>TAKAHASHI MOMOHA ; MATSUSE TETSURO ; NAKAJIMA HISASHI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_JP2023035803A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; jpn</language><creationdate>2023</creationdate><topic>GYROSCOPIC INSTRUMENTS</topic><topic>MEASURING</topic><topic>MEASURING DISTANCES, LEVELS OR BEARINGS</topic><topic>NAVIGATION</topic><topic>PHOTOGRAMMETRY OR VIDEOGRAMMETRY</topic><topic>PHYSICS</topic><topic>SIGNALLING</topic><topic>SURVEYING</topic><topic>TESTING</topic><topic>TRAFFIC CONTROL SYSTEMS</topic><toplevel>online_resources</toplevel><creatorcontrib>TAKAHASHI MOMOHA</creatorcontrib><creatorcontrib>MATSUSE TETSURO</creatorcontrib><creatorcontrib>NAKAJIMA HISASHI</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>TAKAHASHI MOMOHA</au><au>MATSUSE TETSURO</au><au>NAKAJIMA HISASHI</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>DROWSINESS PREDICTION SYSTEM AND DROWSINESS PREDICTION METHOD</title><date>2023-03-13</date><risdate>2023</risdate><abstract>To improve accuracy for predicting drowsiness of an occupant of a vehicle.SOLUTION: A drowsiness prediction system 100 includes a life log acquisition unit 13, a route information acquisition unit 12, and a drowsiness prediction unit 14. The life log acquisition unit 13 acquires a life log including at least a wake-up time and a boarding time of an occupant of a vehicle. The route information acquisition unit 12 acquires route information related to a route to a destination of the vehicle. The drowsiness predicting unit 14 predicts a drowsiness level of the occupant while riding on the vehicle based on the life log and the route information.SELECTED DRAWING: Figure 1
【課題】車両の乗員の眠気を予測する精度の向上を図ること。【解決手段】眠気予測システム１００は、生活ログ取得部１３と、経路情報取得部１２と、眠気予測部１４と、を備える。生活ログ取得部１３は、車両の乗員の起床時刻及び乗車時刻を少なくとも含む生活ログを取得する。経路情報取得部１２は、車両の目的地までの経路に関する経路情報を取得する。眠気予測部１４は、生活ログと、経路情報とに基づいて、車両の乗車中における乗員の眠気レベルを予測する。【選択図】図１</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | GYROSCOPIC INSTRUMENTS MEASURING MEASURING DISTANCES, LEVELS OR BEARINGS NAVIGATION PHOTOGRAMMETRY OR VIDEOGRAMMETRY PHYSICS SIGNALLING SURVEYING TESTING TRAFFIC CONTROL SYSTEMS |
| title | DROWSINESS PREDICTION SYSTEM AND DROWSINESS PREDICTION METHOD |
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