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Adam Hoover, Eric Muth Electrical & Computer Engineering Dept Psychology Dept Clemson University The Bite Counter
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Outline 1. The obesity problem 2. Our concept 3. How it works (and how well) 4. Manufacturing 5. Pilot study
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The Obesity Problem More than 27% of U.S. adults, ages 20-74, are obese U.S Department of Health and Human Services, 2007 Worldwide, over 1 billion adults (ages 15+) are overweight or obese World Health Organization, 2009 Related health risks include cardiovascular disease, diabetes, cancer, and hypertension $117 billion annualy to treat obesity-related issues in U.S. Kelly, “Obesity: Health and Medical Issues Today”, 2000
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New tools needed 5/11/20154 Joint NSF/NIH Workshop (Ershow et al. 2007) “Engineering Approaches to Energy Balance and Obesity: Opportunitites for Novel Collaborations and Research” Journal of the American Dietetic Association (Thompson et al. 2010) “Need for Technological Innovation in Dietary Assessment” (McCabe-Sellers et al. 2010) “Advancing the Art and Science of Dietary Assessment through Technology ” International Obesity Society: 10,000 researchers Obesity Society (U.S.): 2,500 researchers
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Balancing Energy Output and Intake Tools can assist counting input and output XY+= weight loss/gain exercisediet healthy weight
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Tools: Measuring Energy Output Odometers measure time, distance, velocity Provide rough estimate of calories burned Commonly used in exercise
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Tools: Pedometer A pedometer is worn on the waist Measures steps, e.g. during exercise Can be worn all day, used anywhere
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Tools: Measuring Energy Intake Manually counting calories Calorie or food diary Pre-packaged foods and serving sizes None of these are easy to use consistently over long periods of time
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Our concept: Bite counter Automatically tracks how many bites of food have been taken Can vibrate to tell you when to stop eating Worn like a watch
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How do bites relate to calories? Weight loss does not happen in a single meal (or bite); it takes weeks to months of consistently consuming less food 1 pound per week is a common guideline (American Heart Association) People are bad at counting calories Undercounting 200-500 calories per day (Champagne et. al. 2002) Calories are not as accurate as we like to believe Frozen dinners 8% under, fast food 18% under (Urban et. al. 2010) People tend to eat the same foods week-to-week Reduce the bites … reduce the calories
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Does bite size matter? At daily and weekly intervals, goals could be given to smooth out spikes in eating behavior 10-75, based upon our testing Example: After a week of monitoring, we determine your average lunch bite count is 38; we recommend reducing that to 32 Example: Upon reaching dinner, the device indicates you have already consumed 183 bites today; a small dinner is recommended How many bites do you eat in a meal? Bite count goals will be customized to the individual, and will be based upon monitoring the individual for a week
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Advantages of our device Objective No guessing, or thinking back over a day to total consumption Automated You can be doing other things (talking with friends, working, watching TV, etc.); the device does all the counting Real-time feedback The device can give you cues to stop eating BEFORE you have consumed more than you intended
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How it works The wrist undergoes a characteristic roll motion during the taking of a bite of food Biologically, this can be related to the necessary orientations for (1) picking food up, and (2) placing food into the mouth
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How it works Tracking the wrist roll motion, we have identified a 3-event pattern that corresponds to the taking of a bite of food
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Demo
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How well does it work? Experiment #1: Waffles 51 subjects, 139 meals, same food (waffles), same utensil 94% bites correctly detected 80% positive predictive value Experiment #2: Any foods, in lab 47 subjects, 49 meals, any food (and drink), any utensil 88% bites correctly detected 76% positive predictive value Talking, other actions during 67% of bites
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Experiment #3: Two weeks 5/11/201517 Test relationship between bites and calories 83 subjects wore for 2 weeks 3246 meals 76% have correlation > 0.4 69% between 0.4 and 0.7 Correlation: 0.4 Correlation: 0.7
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Experiment #4: Cafeteria 5/11/201518 Instrumented dining table Harcombe Dining Hall; seats 800 people
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How do we build it?
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Embedded System Design Lab modelWatch model
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Breadboarding and parts selection gyroscope LCD processor battery, holder charger I/O (buttons, speaker, vibratory motor, USB port)
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Processor development board dev board JTAG-USB
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LCD surfboard and custom breakout board
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Gyroscope typically follow “application circuit” from manual
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Battery How long will it run? What can you wear?
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Design stages BreadboardCircuit diagrams
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Design stages Circuit diagramsPrinted circuit board (PCB) & manufacturing EEEA, Inc
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Design stages PCB Molding and case production Center Line Technology
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Design stages PCB, case Assembly
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Bite counter PCB gyroscope processor LCD battery USB port USB-RS232 bridge speaker buttonsJTAG charger
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