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Apparatus for detecting, receiving, obtaining and presenting human physiological and contextual information
专利权人:
Inc.;BodyMedia
发明人:
STIVORIC, John M.,PACIONE, Christopher,TELLER, Eric,ANDRE, David,KASABACH, Christopher,BOEHMKE, Scott,VISHNUBHATLA, Suresh,SAFIER, Scott,FARRINGDON, Jonathan,PELLETIER, Raymond
申请号:
ES03768524
公开号:
ES2562933T3
申请日:
2003.10.09
申请国别(地区):
ES
年份:
2016
代理人:
摘要:
An apparatus for tracking the caloric intake and caloric expenditure of an individual, comprising: a sensor device (10, 700, 1201) adapted to be carried on the body of an individual, the sensor device having at least two sensors (12, 705, 710) adapted to generate data when they are in close proximity to said individual's body, at least one of said sensors being a physiological sensor adapted to generate data indicative of a first parameter of said individual, being the first physiological parameter, and at least one second of said sensors adapted to generate data indicative of a second parameter of said individual; and an I / O device (1200) in electronic communication with said sensor device (10, 700, 1201); wherein said sensor device includes a processor (20, 490, 900) in electronic communication with said at least two sensors (12, 705, 710) and said I / O device (1200), said processor (20, 490, 900) to use said first parameter and second parameter data to obtain caloric expenditure data from said individual, said obtaining based on an algorithm, said I / O device (1200) adapted to enable said individual to introduce information related to calories consumed by said individual, said I / O device (1200) comprising a screen (1210) for presenting information, said information based on said caloric expenditure data obtained and caloric consumption data generated using information entered related to calories consumed by said individual, characterized in that: said algorithm includes: a context detector (1605) that uses data generated by said sensors (12 , 705, 710) and demographic information for the individual to produce a weighting that expresses a probability that a given portion of said data is generated by said sensors (12, 705, 710) while the user was in each of several possible contexts of user activity, a regression algorithm (1610) for each user activity context, each regression algorithm producing an output that is an estimate of caloric expenditure for its re
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