Patent SG-11201809294R-A (SG)
Title: Systems and methods for sensor data analysis through machine learning
Inventor: FAITH PATRICK
IPC: G06Q30/00
Filed: 2017-04-19
Abstract: INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) CORRECTED VERSION (19) World Intellectual Property Organization International Bureau (43) International Publication Date 26 October 2017 (26.10.2017) WIPO I PCT 1111111111111011101010111101011110III1111101 110 1111110IIII111110BE lII (10) International Publication Number WO 2017/184724 A8 (51) International Patent Classification: G06Q 10/00 (2012.01) G06Q 30/00 (2012.01) (21) International Application Number: PCT/US2017/028354 (22) International Filing Date: 19 April 2017 (19.04.2017) (25) Filing Language: English (26) Publication Language: English (30) Priority Data: 15/134,362 20 April 2016 (20.04.2016) US (71) Applicant: OA LABS LLC [US/US]; 855 Folsom St., Unit 15, San Francisco, CA 94107 (US). (72) Inventors: FAITH, Patrick; 2810 Jones Gate Ct., Pleasan- ton, CA 94566 (US). QUINLAN, Matthew; 494 Del Ami- go Rd., Danville, CA 94526 (US). EDINGTON, Scott; 4500 S. Four Mile Run Dr. #115, Arlington, VA 22204 (US). (74) Agent: CHAPMAN, Ernest, F. et al.; Finnegan, Hender- son, Farabow Garrett & Dunner, LLP, 901 New York Av- enue, N.W., Washington, DC 20001-4413 (US). (81) Designated States (unless otherwise indicated, for every kind of national protection available): 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, 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. (84) Designated States (unless otherwise indicated, for every kind of regional protection available): ARIPO (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, TM), European (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), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG). Published: — with international search report (Art. 21(3)) (48) Date of publication of this corrected version: 31 May 2018 (31.05.2018) (15) Information about Correction: see Notice of 31 May 2018 (31.05.2018) (54) Title: SYSTEMS AND METHODS FOR SENSOR DATA ANALYSIS THROUGH MACHINE LEARNING 7 1. (57) : Sensor data analysis may include obtaining video data, detecting facial data within the video data, extracting the facial N data from the video data, detecting indicator data within the video data, extracting the indicator data from the video data, transforming IN the extracted facial data into representative facial data, and determining a mood of the person by associating learned mood indicators 71' of derived from other detected facial data with the representative facial data. The analysis may include determining that the representative facial data is associated with a complex profile, and determining a context regarding the person within the environment by weighting j r:-. and processing the determined mood, at least one subset of data representing information about the person of the complex profile, and the indicator data. The analysis may include determining a user experience for the person, and communicating the determined user © experience to a device associated with the person. C