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1. (WO2018164873) ULTRASONIC BASED GESTURE RECOGNITION
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Pub. No.: WO/2018/164873 International Application No.: PCT/US2018/019796
Publication Date: 13.09.2018 International Filing Date: 27.02.2018
IPC:
G06K 9/00 (2006.01) ,G01S 15/89 (2006.01) ,G06F 3/01 (2006.01) ,G06N 3/02 (2006.01) ,G06K 9/62 (2006.01) ,G01S 7/527 (2006.01) ,G01S 7/539 (2006.01) ,G01S 7/54 (2006.01) ,G01S 15/10 (2006.01)
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
K
RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9
Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
G PHYSICS
01
MEASURING; TESTING
S
RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
15
Systems using the reflection or reradiation of acoustic waves, e.g. sonar systems
88
Sonar systems, specially adapted for specific applications
89
for mapping or imaging
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
F
ELECTRIC DIGITAL DATA PROCESSING
3
Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
01
Input arrangements or combined input and output arrangements for interaction between user and computer
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3
Computer systems based on biological models
02
using neural network models
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
K
RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9
Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62
Methods or arrangements for recognition using electronic means
G PHYSICS
01
MEASURING; TESTING
S
RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
7
Details of systems according to groups G01S13/, G01S15/, G01S17/127
52
of systems according to group G01S15/58
523
Details of pulse systems
526
Receivers
527
Extracting wanted echo signals
G PHYSICS
01
MEASURING; TESTING
S
RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
7
Details of systems according to groups G01S13/, G01S15/, G01S17/127
52
of systems according to group G01S15/58
539
using analysis of echo signal for target characterisation; Target signature; Target cross-section
G PHYSICS
01
MEASURING; TESTING
S
RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
7
Details of systems according to groups G01S13/, G01S15/, G01S17/127
52
of systems according to group G01S15/58
54
with receivers spaced apart
G PHYSICS
01
MEASURING; TESTING
S
RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
15
Systems using the reflection or reradiation of acoustic waves, e.g. sonar systems
02
using reflection of acoustic waves
06
Systems determining position data of a target
08
Systems for measuring distance only
10
using transmission of interrupted pulse-modulated waves
Applicants:
MICROSOFT TECHNOLOGY LICENSING, LLC [US/US]; One Microsoft Way Redmond, Washington 98052-6399, US
Inventors:
TASHEV, Ivan Jelev; US
ZARAR, Shuayb M; US
DAS, Amit; US
Agent:
MINHAS, Sandip S.; US
CHEN, Wei-Chen Nicholas; US
DRAKOS, Katherine J.; US
HINOJOSA, Brianna L.; US
HOLMES, Danielle J.; US
SWAIN, Cassandra T.; US
WONG, Thomas S.; US
CHOI, Daniel; US
HWANG, William C.; US
WIGHT, Stephen A.; US
CHATTERJEE, Aaron C.; US
Priority Data:
15/640,32730.06.2017US
62/467,74106.03.2017US
Title (EN) ULTRASONIC BASED GESTURE RECOGNITION
(FR) RECONNAISSANCE DE GESTES BASÉE SUR ULTRASONS
Abstract:
(EN) An ultrasonic gesture recognition system is provided that recognizes gestures based on analysis of return signals of an ultrasonic pulse that is reflected from a gesture. The system transmits an ultrasonic chirp and samples a microphone array at sample intervals to collect a return signal for each microphone. The system then applies a beamforming technique to frequency domain representations of the return signals to generate an acoustic image with a beamformed return signal for multiple directions. The system then generates a feature image from the acoustic images to identify, for example, distance or depth from the microphone array to the gesture for each direction. The system then submits the feature image to a deep learning system to classify the gesture.
(FR) L'invention concerne un système de reconnaissance de geste par ultrasons qui reconnaît des gestes sur la base d'une analyse de signaux de retour d'une impulsion ultrasonore qui est réfléchie à partir d'un geste. Le système transmet un signal "chirp" ultrasonore et échantillonne un réseau de microphones à des intervalles d'échantillonnage pour collecter un signal de retour pour chaque microphone. Le système applique ensuite une technique de formation de faisceau à des représentations de domaine fréquentiel des signaux de retour pour générer une image acoustique avec un signal de retour formé en faisceau pour de multiples directions. Le système génère ensuite une image caractéristique à partir des images acoustiques pour identifier, par exemple, la distance ou la profondeur du réseau de microphones par rapport au geste pour chaque direction. Le système soumet ensuite l'image caractéristique à un système d'apprentissage profond pour classifier le geste.
front page image
Designated States: AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW
African Regional Intellectual Property Organization (ARIPO) (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW)
Eurasian Patent Office (AM, AZ, BY, KG, KZ, RU, TJ, TM)
European Patent Office (EPO) (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR)
African Intellectual Property Organization (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG)
Publication Language: English (EN)
Filing Language: English (EN)