Nutritional content determination based on gesture detection data
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.
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.
2. 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.
3. 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.
4. The system of claim 1 , wherein the gesture detection data comprises pace metrics for consumption of the food item or the drink.
5. The system of claim 1 , wherein the gesture detection data comprises duration information for consumption of the food item or the drink.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
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.
12. 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.
13. 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.
14. The method of claim 11 , wherein the gesture detection data comprises pace metrics for consumption of the food item or the drink.
15. The method of claim 11 , wherein the gesture detection data comprises duration information for consumption of the food item or the drink.
16. The method of claim 11 , further comprising:
obtaining location information corresponding to consumption of the food item or the drink.
17. The method of claim 11 , further comprising:
obtaining time of event information corresponding to consumption of the food item or the drink.
18. 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.
19. 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.
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.