1. WO2026174388 - SYSTEMS AND METHODS FOR USER INTERFACES WITH POINTING ANGLE AND USER-INTENTION ESTIMATION

Publication Number WO/2026/174388

Publication Date 27.08.2026

International Application No. PCT/CA2026/050256

International Filing Date 19.02.2026

IPC

G01B 7/30 2006.1

G	PHYSICS
01	MEASURING; TESTING
B	MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
7	Measuring arrangements characterised by the use of electric or magnetic techniques
30	for measuring angles or tapers; for testing the alignment of axes

G06F 3/044 2006.1

G	PHYSICS
06	COMPUTING; CALCULATING OR 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
03	Arrangements for converting the position or the displacement of a member into a coded form
041	Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
044	by capacitive means

H03K 17/955 2006.1

H	ELECTRICITY
03	ELECTRONIC CIRCUITRY
K	PULSE TECHNIQUE
17	Electronic switching or gating, i.e. not by contact-making and -breaking
94	characterised by the way in which the control signals are generated
945	Proximity switches
955	using a capacitive detector

G06N 20/00 2019.1

G	PHYSICS
06	COMPUTING; CALCULATING OR COUNTING
N	COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
20	Machine learning

G01B 7/30 2006.1

G	PHYSICS
01	MEASURING; TESTING
B	MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
7	Measuring arrangements characterised by the use of electric or magnetic techniques
30	for measuring angles or tapers; for testing the alignment of axes

G06F 3/044 2006.1

G	PHYSICS
06	COMPUTING; CALCULATING OR 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
03	Arrangements for converting the position or the displacement of a member into a coded form
041	Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
044	by capacitive means

H03K 17/955 2006.1

H	ELECTRICITY
03	ELECTRONIC CIRCUITRY
K	PULSE TECHNIQUE
17	Electronic switching or gating, i.e. not by contact-making and -breaking
94	characterised by the way in which the control signals are generated
945	Proximity switches
955	using a capacitive detector

G06N 20/00 2019.1

G	PHYSICS
06	COMPUTING; CALCULATING OR COUNTING
N	COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
20	Machine learning

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Applicants

• NZ TECHNOLOGIES INC. [CA]/[CA]

Inventors

• ZIRAKNEJAD, Nima
• SAXENA, Pranav
• RAU, Han-Yung
• HO, Thien
• RIKHTEHGAR, Ali Javdani
• JAHANGIRI, Nasim

Agents

• RATTRAY, Todd A.
• KWOK, Christina S.W.
• ASH, Craig A.
• MCGRUDER, David J.
• TAKAGAWA, David H.
• SUE, Hilton W.C.
• GARNER, Nicholas
• SMITH, Paul R.
• JONES, Roni M.
• BAILEY, Thomas W.
• LESLIE, Garth W.
• WANG, Kevin Z.
• CHAN, Leslie
• MANNING, Gavin N.
• KONDOR, George F.
• CHAN, Lawrence K.

Priority Data

63/761,874

21.02.2025

US

Publication Language English (en)

Filing Language English (en)

Designated States

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AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CV, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IQ, IR, IS, IT, JM, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, MG, MK, MN, MU, 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, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UY, UZ, VC, VN, WS, ZA, ZM, ZW
African Regional Intellectual Property Organization (ARIPO) (BW, CV, GH, GM, KE, LR, LS, MU, MW, MZ, NA, RW, SC, SD, SL, ST, SZ, TZ, UG, ZM, ZW)
Eurasian Patent Organization (AM, AZ, BY, KG, KZ, RU, TJ, TM)
European Patent Office (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, ME, 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)

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Title

(EN) SYSTEMS AND METHODS FOR USER INTERFACES WITH POINTING ANGLE AND USER-INTENTION ESTIMATION

(FR) SYSTÈMES ET PROCÉDÉS POUR INTERFACES UTILISATEUR AVEC ESTIMATION D'ANGLE DE POINTAGE ET D'INTENTION DE L'UTILISATEUR

Abstract

(EN) Systems and methods for estimating an orientation of a conductive object and/or an estimated user-intended pointing location for interacting with an apparatus operable with a touchless interface. A plurality of time-sequenced single reference center of mass points is determined based on one or more capacitive sensor signals. Each single reference center of mass point corresponds to a location of a center of mass of the conductive object and is associated with a time stamp. One or more machine learning inputs are generated based on the plurality of time-sequenced single reference center of mass points. A trained machine learning algorithm, when executed with the one or more machine learning inputs, outputs an estimated zenith angle and an estimated azimuthal angle of the conductive object. The estimated user- intended pointing location is based at least on the estimated zenith angle and estimated azimuthal angle of the conductive object.

(FR) L'invention concerne des systèmes et des procédés permettant d'estimer l'orientation d'un objet conducteur et/ou d'un emplacement estimé de pointage souhaité par l'utilisateur afin d'interagir avec un appareil fonctionnant avec une interface sans contact. Une pluralité de points de centre de masse de référence uniques, ordonnés dans le temps, est déterminée sur la base d'un ou de plusieurs signaux provenant de capteurs capacitifs. Chaque point de centre de masse de référence unique correspond à l'emplacement du centre de masse de l'objet conducteur et est associé à une estampille temporelle. Une ou plusieurs données d'entrée d'apprentissage automatique sont générées à partir de la pluralité de points de centre de masse de référence uniques, ordonnés dans le temps. Un algorithme d'apprentissage automatique entraîné, lorsqu'il est exécuté avec la ou les entrées d'apprentissage automatique, fournit en sortie une estimation de l'angle zénithal et une estimation de l'angle azimutal de l'objet conducteur. L'emplacement estimé du pointage souhaité par l'utilisateur repose au moins sur l'angle zénithal estimé et l'angle azimutal estimé de l'objet conducteur.

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