Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  describes a study to test the accuracy of a method that tracks wrist motion during eating to detect and count bites. The purpose was to assess its accuracy across demographic (age, gender, and ethnicity) and bite (utensil, container, hand used, and food type) variables. Data re collected in a cafeteria under normal eating conditions. A total of 271 participants ate a single meal while aring a watch-like device to track their wrist motion. A video was simultaneously recorded of each participant and subsequently revied to determine the ground truth times of bites. Bite times re operationally defined as the moment when food or beverage was placed into the mouth. Food and beverage choices re not scripted or restricted. Participants re seated in groups of 2–4 and re encouraged to eat naturally. A total of 24 088 bites of 374 different food and beverage items re consumed. Overall the method for automatically detecting bites had a sensitivity of 75% with a positive predictive value of 89%. A range of 62–86% sensitivity was found across demographic variables with slor eating rates trending toward higher sensitivity. Variations in sensitivity due to food type shod a modest correlation with the total wrist motion during the bite, possibly due to an increase in head-toward-plate motion and decrease in hand-toward-mouth motion for some food types. Overall, the findings provide the largest evidence to date that the method produces a reliable automated measure of intake during unrestricted eating.
['Yiru Shen', 'James N. Salley', 'Eric R. Muth', 'Adam W. Hoover']
I am writing a research paper on a idea Assessing the Accuracy of a Wrist Motion Tracking Method for Counting Bites Across Demographic and Food Variables
[{"from": "human", "value": "I am writing a research paper on a idea Assessing the Accuracy of a Wrist Motion Tracking Method for Counting Bites Across Demographic and Food Variables"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  describes a study to test the accuracy of a method that tracks wrist motion during eating to detect and count bites. The purpose was to assess its accuracy across demographic (age, gender, and ethnicity) and bite (utensil, container, hand used, and food type) variables. Data re collected in a cafeteria under normal eating conditions. A total of 271 participants ate a single meal while aring a watch-like device to track their wrist motion. A video was simultaneously recorded of each participant and subsequently revied to determine the ground truth times of bites. Bite times re operationally defined as the moment when food or beverage was placed into the mouth. Food and beverage choices re not scripted or restricted. Participants re seated in groups of 2\u20134 and re encouraged to eat naturally. A total of 24\u00a0088 bites of 374 different food and beverage items re consumed. Overall the method for automatically detecting bites had a sensitivity of 75% with a positive predictive value of 89%. A range of 62\u201386% sensitivity was found across demographic variables with slor eating rates trending toward higher sensitivity. Variations in sensitivity due to food type shod a modest correlation with the total wrist motion during the bite, possibly due to an increase in head-toward-plate motion and decrease in hand-toward-mouth motion for some food types. Overall, the findings provide the largest evidence to date that the method produces a reliable automated measure of intake during unrestricted eating."}]