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WO2013166513A3 - Cross-user hand tracking and shape recognition user interface - Google Patents

Cross-user hand tracking and shape recognition user interfaceDownload PDF

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Publication number
WO2013166513A3
WO2013166513A3PCT/US2013/039764US2013039764WWO2013166513A3WO 2013166513 A3WO2013166513 A3WO 2013166513A3US 2013039764 WUS2013039764 WUS 2013039764WWO 2013166513 A3WO2013166513 A3WO 2013166513A3
Authority
WO
WIPO (PCT)
Prior art keywords
interface
shape recognition
tracks
cross
hand tracking
Prior art date
Application number
PCT/US2013/039764
Other languages
French (fr)
Other versions
WO2013166513A2 (en
Inventor
David MINNEN
Original Assignee
Oblong Industries, Inc.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from US13/532,605external-prioritypatent/US20130076616A1/en
Priority claimed from US13/532,628external-prioritypatent/US8941590B2/en
Priority claimed from US13/532,527external-prioritypatent/US8941589B2/en
Priority claimed from US13/759,472external-prioritypatent/US9495228B2/en
Priority claimed from US13/850,837external-prioritypatent/US9804902B2/en
Application filed by Oblong Industries, Inc.filedCriticalOblong Industries, Inc.
Priority to JP2015510510ApriorityCriticalpatent/JP2015525381A/en
Priority to EP13784768.7Aprioritypatent/EP2845084A4/en
Publication of WO2013166513A2publicationCriticalpatent/WO2013166513A2/en
Publication of WO2013166513A3publicationCriticalpatent/WO2013166513A3/en

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Abstract

Embodiments include vision-based interfaces performing hand or object tracking and shape recognition. The vision-based interface receives data from a sensor, and the data corresponds to an object detected by the sensor. The interface generates images from each frame of the data, and the images represent numerous resolutions. The interface detects blobs in the images and tracks the object by associating the blobs with tracks of the object. The interface detects a pose of the object by classifying each blob as corresponding to one of a number of object shapes. The interface controls a gestural interface in response to the pose and the tracks.
PCT/US2013/0397642012-05-042013-05-06Cross-user hand tracking and shape recognition user interfaceWO2013166513A2 (en)

Priority Applications (2)

Application NumberPriority DateFiling DateTitle
JP2015510510AJP2015525381A (en)2012-05-042013-05-06 Interactive user hand tracking and shape recognition user interface
EP13784768.7AEP2845084A4 (en)2012-05-042013-05-06Cross-user hand tracking and shape recognition user interface

Applications Claiming Priority (30)

Application NumberPriority DateFiling DateTitle
US201261643124P2012-05-042012-05-04
US61/643,1242012-05-04
US201261655423P2012-06-042012-06-04
US61/655,4232012-06-04
US13/532,5272012-06-25
US13/532,605US20130076616A1 (en)2008-04-242012-06-25Adaptive tracking system for spatial input devices
US13/532,6052012-06-25
US13/532,6282012-06-25
US13/532,628US8941590B2 (en)2008-04-242012-06-25Adaptive tracking system for spatial input devices
US13/532,527US8941589B2 (en)2008-04-242012-06-25Adaptive tracking system for spatial input devices
US201261711152P2012-10-082012-10-08
US61/711,1522012-10-08
US61/719,1092012-10-19
US201261719109P2012-10-262012-10-26
US201261722007P2012-11-022012-11-02
US61/722,0072012-11-02
US201261725449P2012-11-122012-11-12
US61/725,4492012-11-12
US201261747940P2012-12-312012-12-31
US61/747,9402012-12-31
US13/759,472US9495228B2 (en)2006-02-082013-02-05Multi-process interactive systems and methods
US13/759,4722013-02-05
US201361785053P2013-03-142013-03-14
US61/785,0532013-03-14
US201361787650P2013-03-152013-03-15
US201361787792P2013-03-152013-03-15
US61/787,6502013-03-15
US61/787,7922013-03-15
US13/850,837US9804902B2 (en)2007-04-242013-03-26Proteins, pools, and slawx in processing environments
US13/850,8372013-03-26

Publications (2)

Publication NumberPublication Date
WO2013166513A2 WO2013166513A2 (en)2013-11-07
WO2013166513A3true WO2013166513A3 (en)2014-01-09

Family

ID=52441470

Family Applications (1)

Application NumberTitlePriority DateFiling Date
PCT/US2013/039764WO2013166513A2 (en)2012-05-042013-05-06Cross-user hand tracking and shape recognition user interface

Country Status (3)

CountryLink
EP (1)EP2845084A4 (en)
JP (1)JP2015525381A (en)
WO (1)WO2013166513A2 (en)

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US9558455B2 (en)*2014-07-112017-01-31Microsoft Technology Licensing, LlcTouch classification
JP6488961B2 (en)*2015-09-282019-03-27富士通株式会社 Generation method, determination method, program, and information processing apparatus
CN111143182B (en)*2019-12-272023-12-05绿盟科技集团股份有限公司Analysis method, device and storage medium for process behavior
CN113949906B (en)*2021-12-012024-09-03深圳市佰慧智能科技有限公司Video preview playback system based on video networking sharing
CN118967538A (en)*2024-07-232024-11-15华南理工大学 A method and system for enhancing irregular tactile graphic data

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US20110243380A1 (en)*2010-04-012011-10-06Qualcomm IncorporatedComputing device interface
US20120027263A1 (en)*2010-08-022012-02-02Sony CorporationHand gesture detection
US20120069168A1 (en)*2010-09-172012-03-22Sony CorporationGesture recognition system for tv control
US20120087575A1 (en)*2007-06-192012-04-12Microsoft CorporationRecognizing hand poses and/or object classes

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
US6215890B1 (en)*1997-09-262001-04-10Matsushita Electric Industrial Co., Ltd.Hand gesture recognizing device
US20080166045A1 (en)*2005-03-172008-07-10Li-Qun XuMethod of Tracking Objects in a Video Sequence
US20100034457A1 (en)*2006-05-112010-02-11Tamir BerlinerModeling of humanoid forms from depth maps
US20120087575A1 (en)*2007-06-192012-04-12Microsoft CorporationRecognizing hand poses and/or object classes
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Also Published As

Publication numberPublication date
JP2015525381A (en)2015-09-03
EP2845084A4 (en)2016-08-31
WO2013166513A2 (en)2013-11-07
EP2845084A2 (en)2015-03-11

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