# US 12,217,194 B2 · Nutritional content determination based on gesture detection data > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,217,194 B2 - Document ID: US12217194B2 - Status: Granted - Kind: B2 - Application number: 18/322,318 - Filed: 2023-05-23 - Published: 2023-09-21 - Granted: 2025-02-04 - Earliest claimed: 2016-01-28 - Assignees: Medtronic MiniMed, Inc. - Applicants: Medtronic Minimed, Inc. - Inventors: Katelijn Vleugels - Web page: https://patentgrep.com/patent/US12217194B2 ## CPC - G06N 5/04: Inference or reasoning models - G16H 20/60: relating to nutrition control, e.g. diets - G06N 20/00: Machine learning - G16H 10/20: for electronic clinical trials or questionnaires - G16H 10/60: for patient-specific data, e.g. for electronic patient records - G16H 20/17: delivered via infusion or injection - G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems - H04W 4/02: Services making use of location information - H04W 4/35: for the management of goods or merchandise - G16H 50/70: for mining of medical data, e.g. analysing previous cases of other patients - H04W 4/80: Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS - G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA - H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72) ## Abstract Techniques disclosed herein relate to nutritional content determination based on gesture detection data. In some embodiments, the techniques involve obtaining gesture detection data corresponding to consumption of a food item or a drink; determining, based on the gesture detection data, nutritional content of the food item or the drink; and causing delivery of insulin in accordance with the nutritional content of the food item or the drink. ## Claims ### Claim 1 A system comprising: one or more processors; and one or more processor-readable media storing instructions which, when executed by the one or more processors, cause performance of: obtaining gesture detection data corresponding to consumption of a food item or a drink; determining, based on the gesture detection data, nutritional content of the food item or the drink by comparing the gesture detection data to historical consumption data that includes historical gesture detection data and associated nutritional content information of one or more food items or drinks; and causing delivery of insulin in accordance with the nutritional content of the food item or the drink. ### Claim 2 (depends on 1) The system of claim 1, wherein the gesture detection data comprises consumption mode data indicating which utensils or equipment were used during consumption of the food item or the drink. ### Claim 3 (depends on 1) The system of claim 1, wherein the gesture detection data comprises consumption mode data indicating that utensils were not used during consumption of the food item. ### Claim 4 (depends on 1) The system of claim 1, wherein the gesture detection data comprises pace metrics for consumption of the food item or the drink. ### Claim 5 (depends on 1) The system of claim 1, wherein the gesture detection data comprises duration information for consumption of the food item or the drink. ### Claim 6 (depends on 1) The system of claim 1, wherein the one or more processor-readable media further store instructions which, when executed by the one or more processors, cause performance of: obtaining location information corresponding to consumption of the food item or the drink. ### Claim 7 (depends on 1) The system of claim 1, wherein the one or more processor-readable media further store instructions which, when executed by the one or more processors, cause performance of: obtaining time of event information corresponding to consumption of the food item or the drink. ### Claim 8 (depends on 1) The system of claim 1, wherein the associated nutritional content information of the one or more food items or drinks includes food/drink identification data and quantity information. ### Claim 9 (depends on 1) The system of claim 1, wherein causing delivery of insulin in accordance with the nutritional content of the food item or the drink comprises: generating, based on the nutritional content, an insulin dosage recommendation; and communicating the insulin dosage recommendation to a user. ### Claim 10 (depends on 1) The system of claim 1, wherein causing delivery of insulin in accordance with the nutritional content of the food item or the drink comprises: interacting with an insulin delivery device to administer an insulin dosage without user intervention. ### Claim 11 A processor-implemented method comprising: obtaining gesture detection data corresponding to consumption of a food item or a drink; determining, based on the gesture detection data, nutritional content of the food item or the drink by comparing the gesture detection data to historical consumption data that includes historical gesture detection data and associated nutritional content information of one or more food items or drinks; and causing delivery of insulin in accordance with the nutritional content of the food item or the drink. ### Claim 12 (depends on 11) The method of claim 11, wherein the gesture detection data comprises consumption mode data indicating which utensils or equipment were used during consumption of the food item or the drink. ### Claim 13 (depends on 11) The method of claim 11, wherein the gesture detection data comprises consumption mode data indicating that utensils were not used during consumption of the food item. ### Claim 14 (depends on 11) The method of claim 11, wherein the gesture detection data comprises pace metrics for consumption of the food item or the drink. ### Claim 15 (depends on 11) The method of claim 11, wherein the gesture detection data comprises duration information for consumption of the food item or the drink. ### Claim 16 (depends on 11) The method of claim 11, further comprising: obtaining location information corresponding to consumption of the food item or the drink. ### Claim 17 (depends on 11) The method of claim 11, further comprising: obtaining time of event information corresponding to consumption of the food item or the drink. ### Claim 18 (depends on 11) The method of claim 11, wherein the associated nutritional content information of the one or more food items or drinks includes food/drink identification data and quantity information. ### Claim 19 (depends on 11) The method of claim 11, wherein causing delivery of insulin in accordance with the nutritional content of the food item or the drink comprises: generating, based on the nutritional content, an insulin dosage recommendation; and communicating the insulin dosage recommendation to a user. ### Claim 20 One or more non-transitory processor-readable media storing instructions which, when executed by one or more processors, cause performance of: obtaining gesture detection data corresponding to consumption of a food item or a drink; determining, based on the gesture detection data, nutritional content of the food item or the drink by comparing the gesture detection data to historical consumption data that includes historical gesture detection data and associated nutritional content information of one or more food items or drinks; and causing delivery of insulin in accordance with the nutritional content of the food item or the drink.