US2014213857A1PendingUtilityA1

System for automatic journaling of a user's context

59
Assignee: BODYMEDIA INCPriority: Oct 9, 2002Filed: Oct 21, 2013Published: Jul 31, 2014
Est. expiryOct 9, 2022(expired)· nominal 20-yr term from priority
A61B 5/01G16H 50/20A61B 5/6824A61B 5/7445A61B 5/0022A61B 5/0533A61B 5/743A61B 5/1118A61B 5/6801A61B 5/0205A61B 5/7278A63B 2024/0065A61B 5/7275A61B 5/411A61B 2562/0219A61B 5/7225A61B 5/4872A61B 5/0002A61B 5/002A61B 5/4884A61B 5/4875A61B 5/0816A61B 5/021A61B 5/14532A61B 5/0833A61B 5/7475Y10S128/921A63B 24/0062A61B 5/7267Y10S128/905A61B 5/4866G06F 8/00G06F 17/00A61B 5/4809A61B 5/02055A61B 5/11G16H 10/60Y10S128/92A61B 5/7264A61B 5/7282A61B 5/02405A61B 5/00G16H 40/63G16H 20/60G16H 40/67A61B 5/398A61B 5/384
59
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Claims

Abstract

Various methods and apparatuses for measuring a state parameter of an individual using signals based on one or more sensors are disclosed. In one embodiment, a first set of signals is used in a first function to determine how a second set of signals is used in one or more second functions to predict the state parameter. In another embodiment, first and second functions are used where the state parameter or an indicator of the state parameter may be obtained from a relationship between the first function and the second function. The state parameter may, for example, include calories consumed or calories burned by the individual. Various methods for making such apparatuses are also disclosed.

Claims

exact text as granted — not AI-modified
1 . (canceled) 
     
     
         2 . A system for automatically journaling a state parameter of an individual having:
 a wearable device comprising at least one sensor for generating at least one sensor output signal;   a processor programmed to utilize said sensor output signals to:   (i) identify one or more contexts of said individual, each of said one or more context corresponding to an algorithm;   (ii) determine probability that a user is engaged in the one or more identified activities and assign a mathematical weight associated with each of the one or more algorithms based on the probability;   (iii) apply the one or more algorithms to the sensor output signals according to the mathematical weight;   (iv) predict said state parameter of said individual utilizing the one or more algorithms and the associated mathematical weights; and   (v) cause to be recorded in memory, a plurality of predicted state parameters over a time period.   
     
     
         3 . An apparatus according to any of the preceding claims, wherein said one or more algorithms further comprise a regression algorithm. 
     
     
         4 . An apparatus according to any of the preceding claims, wherein said state parameter is the caloric expenditure of said individual. 
     
     
         5 . An apparatus according to  claim 4  as dependent on  claim 3 , wherein said identified activities include a resting and an active state of said individual. 
     
     
         6 . An apparatus according to any of the preceding claims, wherein said at least one sensor is selected from the group consisting of a body motion sensor, a heat flux sensor and a skin conductance sensor. 
     
     
         7 . An apparatus according to  claim 6 , wherein said body motion sensor is an accelerometer and said skin conductance sensor is a GSR sensor. 
     
     
         8 . An apparatus according to  claim 1 , wherein said state parameter is caloric expenditure. 
     
     
         9 . An apparatus according to  claim 1 , wherein said state parameter is sleep. 
     
     
         10 . An apparatus according to  claim 1 , wherein said state parameter is stress. 
     
     
         11 . An apparatus according to  claim 1 , wherein said state parameter is fatigue. 
     
     
         12 . An apparatus according to  claim 1 , wherein said state parameter is duress.

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