Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/12877
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dc.contributor.authorSa-Nguannarm P.
dc.contributor.authorSenavongse W.
dc.contributor.authorCharoenpong T.
dc.contributor.authorKiatsoontorn K.
dc.date.accessioned2021-04-05T03:21:44Z-
dc.date.available2021-04-05T03:21:44Z-
dc.date.issued2018
dc.identifier.other2-s2.0-85063281221
dc.identifier.urihttps://ir.swu.ac.th/jspui/handle/123456789/12877-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85063281221&doi=10.1109%2fIEECON.2018.8712274&partnerID=40&md5=16db218793039d3eaac7458409a76919
dc.description.abstractTo operate under sterilization condition in operating room help to reduce infection rate in patient. Therefore, surgeons cannot control computer by using mouse, or keyboard. In this paper, we proposed a method to controlling images in operating room by using a touchless sensor. This method consists of four step. First, hand motion is sensed by a touchless sensor as Leap motion. Second, hand position is detected. Third, hand gesture is recognized by using movement direction. Finally, image is shown and processed relating with hand gesture command. To test the performance of the proposed method, twenty subjects used this device to control an images. This method controls images with two gestures and eight commands: waiting, selection, searching left image, searching right image, increasing brightness, reducing brightness, zooming in and out, and left or right rotation commends. Accuracy rate of commands interpretation is 87.67%. The performance of the proposed method is effective for real-world applications. This is an alternative method for controlling image in an operation room. © 2018 IEEE.
dc.subjectLuminance
dc.subjectMammals
dc.subjectMedical imaging
dc.subjectOperating rooms
dc.subjectPalmprint recognition
dc.subjectSterilization (cleaning)
dc.subjectAccuracy rate
dc.subjectHand gesture
dc.subjectHand motion
dc.subjectHand movement
dc.subjectHand positions
dc.subjectInfection rates
dc.subjectMotion sensors
dc.subjectTouchless
dc.subjectMotion estimation
dc.titleHand Movement Recognition by Using a Touchless Sensor for Controlling Images in Operating Room
dc.typeConference Paper
dc.rights.holderScopus
dc.identifier.bibliograpycitationiEECON 2018 - 6th International Electrical Engineering Congress.
dc.identifier.doi10.1109/IEECON.2018.8712274
Appears in Collections:Scopus 1983-2021

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