If software program is needlessly complex and tedious , almost no one is go to use it . This fundamental tenant of engineering science has been one of the grown roadblock for any form of far-flung embrace of calorie tracking . researcher at MIT are attend to alter things with a novel vocalisation - activated prototype for logging victuals .
Counting large calorie require either lots of commitment , or the use of intentionally simple methodology . Either you discommode yourself by logging what you consume in painstaking contingent , or you opt to track simplified data , like noting whether you had a swooning , medium , or cloggy meal . But Boston - establish Tufts University and MIT are hoping to achieve the best of both worlds by developing linguistic process credit software that ’s tied into the USDA ’s nutritionary database . Simply state the program what you eat and how much , and it mechanically calculates your kilocalorie intake . you may even verbally measure how much you ate , or pollex through drop - down menus and type in entryway manually .
Translating language into the right food categories can be hard , believe instances where the same word can have a unlike meaning . For example in “ oatmeal ” and “ oatmeal cookie , ” the Good Book “ oatmeal ” is both the food and the qualifier of another kind of food for thought . After overcoming those problems , the gram calorie counter can presently recognize over 10,000 different type of grub .
The web - based broadcast is currently being showcased at a speech communication recognition conference in Shanghai , but the squad say it will keep work on the arrangement and set out test it with people shortly . Hopefully , it will help intermit through the boredom barrier that keep accurate kilocalorie matter from helping millions of the great unwashed stay put goodish .
[ MIT News ]
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