# US 12,002,374 B2 · Method and system for automated guidance to a subject to build healthy chewing habits to facilitate adherence to a healthy food intake routine > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,002,374 B2 - Document ID: US12002374B2 - Status: Granted - Kind: B2 - Application number: 18/107,481 - Filed: 2023-02-08 - Published: 2023-11-23 - Granted: 2024-06-04 - Earliest claimed: 2022-05-17 - Applicants: Julia Hatice Gurbuz; Alara Ipek Gurbuz; Altay Gurbuz - Inventors: Julia Hatice Gurbuz; Alara Ipek Gurbuz; Altay Gurbuz - Web page: https://patentgrep.com/patent/US12002374B2 ## CPC - G09B 19/003: {Repetitive work cycles; Sequence of movements} - G09B 19/0092: {Nutrition} - G16H 40/67: for remote operation - G16H 20/60: relating to nutrition control, e.g. diets - G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems - G09B: EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS (devices for psychotechnics or for testing reaction times A61B5/16; games, sports, amusements A63; projectors, projector screens G03B) - G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA ## Abstract Automated guidance is provided to a subject to build desired chewing habits of food to facilitate adherence to person-specific healthy food intake routine. An electronic device may be configured for operating the automated guiding mode or diagnostic mode. In the automated guiding mode, a subject adopts a sequence presented by the electronic device to form his/her desired chewing habits. In the diagnostic mode, the electronic device proactively analyzes a subject's chewing behaviors via a camera or image sensor to provide guidance to a subject to achieve the desired chewing target. ## Claims ### Claim 1 A method for providing automated guidance to a subject to form desired chewing habits of food intake or to facilitate adherence to a person-specific healthy food intake routine, the method comprising the following steps: a. providing an electronic device configured for operating in an automated guidance sequence and for generating at least one signal prompt to a subject, b. initiating the electronic device of step (a) and operating the electronic device to provide a confirmation signal to the subject indicating a start of the automated guiding sequence, c. operating the electronic device to generate a food intake “bite” signal prompt to invite the subject to take a first bite of food to be consumed, d. operating the electronic device to generate a series of “chew” signal prompt counts comprising a preselected number of individual chew signal prompt counts spaced apart in time at a preselected frequency, e. repeating steps (c) through (d) for additional food intake bites and chews until the food is consumed or the automated guiding sequence is stopped. ### Claim 2 (depends on 1) The method as in claim 1, wherein the signal prompts generated by the electronic device includes a video signal prompt. ### Claim 3 (depends on 1) The method as in claim 1, wherein step (c) is performed following a first predetermined delay after step (b) is complete. ### Claim 4 (depends on 1) The method as in claim 1, wherein step (d) is performed following a second predetermined delay after step (c) is complete. ### Claim 5 (depends on 1) The method as in claim 1, wherein step (e) is performed following a third predetermined delay after step (d) is complete. ### Claim 6 A method for providing automated guidance to a subject to form desired chewing habits of food intake or to facilitate adherence to a person-specific healthy food intake routine, the method comprising the following steps: a. providing an electronic device configured for operating in an automated guiding sequence and for generating at least one signal prompt, the electronic device is further configured to detect each food intake bite and each food chew facial movement of the subject using an image sensor operatively connected thereto or integrated therewith, b. initiating the electronic device of step (a) and operating the electronic device to provide a confirmation signal to the subject indicating a start of the automated guiding sequence, c. operating the electronic device to generate a first food intake “bite” signal prompt to invite the subject to take a first bite of food to be consumed, d. operating the electronic device to detect and count actual food intake bites via using the image sensor to detect facial movements of the subject corresponding to a food intake bite, e. operating the electronic device to activate a series of “chew” signal prompts comprising a preselected number of individual audio or video chew signal prompts spaced apart in time at a preselected frequency, f. operating the electronic device to detect and count actual food chews via using the image sensor to detect facial movements of the subject corresponding to food chewing, and g. repeating steps (c) through (f) for additional food intake bites and chews until the food is consumed or the automated guiding sequence is stopped. ### Claim 7 (depends on 6) The method as in claim 6, wherein upon detection in step (f) the actual food chews between food bites to be lower than a preselected desired target of food chews, generating a signal prompt to guide the subject to increase the number of food chews after each food intake bite. ### Claim 8 (depends on 6) The method as in claim 6, further comprising a step of positioning the image sensor in front of the subject. ### Claim 9 (depends on 6) The method as in claim 6, further comprising a step of operating the image sensor and the electronic device to automatically determine either one or both an age of the subject and a gender of the subject, the method further comprising a step of operating the electronic device to generate an age-appropriate, body mass index-appropriate, and/or gender-appropriate chew count target. ### Claim 10 (depends on 6) The method as in claim 6, further comprising a step of operating the electronic device to record a history of actual food intake bites and chews over time and determine a trend thereof in comparison with the desired target thereof. ### Claim 11 A method of automated determination of a number and timing of food intake bites and a number of chews between consecutive food intake bites throughout an eating session of a subject, the method comprising the following steps: a. providing an electronic device equipped with an image sensor positioned to view a face of the subject, b. operating the electronic device to detect and count the sequence, the number, and the duration of each actual food intake bite and chew via observed jaw and other facial movements of the subject as determined using the image sensor, and c. generating a report listing the sequence, the number, and the duration of each food intake bites and chews throughout the eating session. ### Claim 12 (depends on 11) The method as in claim 11, wherein the report generated in step (c) further comprises a comparison against healthy targets for at least a sequence and a number of food intake bites and chews for the subject. ### Claim 13 (depends on 12) The method as in claim 12, wherein the healthy targets for the sequence and the number of food intake bites and chews for the subject are determined individually based on at least the of subject's age, body mass index, and/or the subject's gender. ### Claim 14 A system for automated guidance for a subject to form desired chewing habits of food intake or to facilitate adherence to person-specific healthy food intake routine; the system comprising an electronic device configured for automatic operation in a predefined guiding sequence and for generating at least one signal prompt, wherein the electronic device is operably connected to a server and at least one database via a communication network, wherein the electronic device is configured to detect each food intake bite and food chew facial movements of the subject using an image sensor operatively connected thereto or integrated therewith, wherein the electronic device is further configured to: a. generate a confirmation signal to confirm initiation of an automated guiding sequence, b. automatically generate a first food intake “bite” signal prompt to guide the subject to take a first bite of food to be consumed, c. automatically detect and count actual food intake bites via observing facial movements of the subject using the image sensor, d. automatically generate a series of “chew” signal prompt counts comprising a preselected number of individual audio or video chew signal prompt counts spaced apart in time at a preselected frequency, e. automatically detect and count actual food chews by using the image sensor to observe jaw and other facial movements of the subject, and f. automatically repeating steps (c) through (e) for detecting further food intake bites and chews until the food is consumed or the automated guiding sequence is stopped. ### Claim 15 (depends on 14) The system as in claim 14, wherein upon detecting the actual food chews number between food bites to be lower than a preselected desired target of food chews, a signal prompt signal is generated by the electronic device to guide the subject to increase the number of food chews after each food intake bite. ### Claim 16 (depends on 14) The system as in claim 14, wherein the image sensor is placed to observe a face of the subject. ### Claim 17 (depends on 14) The system as in claim 14, wherein the electronic device is further configured to operate the image sensor to determine either one or both an age of the subject and a gender of the subject, the electronic device is further configured to automatically generate an age-appropriate, body mass index-appropriate, and/or gender-appropriate chew count target. ### Claim 18 (depends on 14) The system as in claim 14, wherein the electronic device is further configured to record a history of actual food intake bites and chews over time and determine a trend thereof in comparison with the desired target thereof.