Method and apparatus for auto journaling of continuous or discrete body states utilizing physiological and/or contextual parameters
View Patent ↗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.
1. An apparatus for deriving a state parameter of an individual, comprising:
a processor;
a sensor for generating a sensor output signal comprising data indicative of a rate of heat flowing off said individual's body, and a sensor for generating a sensor output signal comprising data indicative of a resistance of said individual's skin to an electric current, said sensor output signals being directed to an electronic communication link with said processor;
wherein said processor automatically determines a context of said individual with a naïve Bayesian classifier and a linear regression by using said data indicative of the rate of heat flowing off said individual's body, and said data indicative of the resistance of said individual's skin to an electric current; and
wherein said processor utilizes said context to predict the energy expenditure of said individual.
2. An apparatus according to claim 1 , wherein said context comprises at least one of a resting and an active state of said individual.
3. An apparatus according to claim 1 , said processor generating caloric consumption data for said individual, the apparatus further comprising a display which identifies said caloric expenditure data and said caloric consumption data.
4. An apparatus according to claim 3 , further comprising an input device in electronic communication with said processor, said caloric consumption data being determined from information collected by said input device from said individual relating to foods eaten by said individual.
5. An apparatus according to claim 3 , wherein said displayed information includes energy balance data.
6. An apparatus according to claim 3 , wherein said displayed information includes a rate of weight loss or gain of said individual.
7. An apparatus according to claim 3 , wherein said displayed information includes information relating to one or more goals of said individual, said goals relating to the monitoring and status of one or more of caloric consumption, caloric expenditure, energy balance and rate of weight loss or gain for said individual.
8. An apparatus according to claim 1 , said apparatus further comprising a wearable sensor device including said sensors which is mounted on said individual, said processor being included in a computing device located separately from said sensor device, each of said computing device and said sensor device having transmitting and receiving circuitry for generating and receiving electronic signals which include said electronic communication link.
9. A method of measuring a state parameter of an individual, comprising:
collecting data indicative of a resistance of said individual's skin to an electric current from a GSR sensor;
collecting data indicative of a rate of heat flowing off said individual's body;
utilizing a processor to automatically determine a context of said individual based on the data indicative of the resistance of said individual's skin to an electric current, and the data indicative of the rate of heat flowing off said individual's body; and
utilizing said context to predict an energy expenditure of said individual.
10. A method according to claim 9 , wherein said context comprises at least one of rest and active.
11. A method according to claim 9 , wherein the processor uses a naïve Bayesian classifier to determine the context.
12. A method according to claim 9 , further comprising generating caloric consumption data for said individual and displaying information based on said caloric expenditure data and said caloric consumption data.
13. A method according to claim 12 , said caloric consumption data being generated from information collected from said individual relating to foods eaten by said individual.
14. A method according to claim 12 , wherein said displayed information includes energy balance data.
15. A method according to claim 12 , wherein said displayed information includes a rate of weight loss or gain of said individual.
16. A method according to claim 12 , wherein said displayed information includes information relating to one or more goals of said individual, said goals relating to one or more of caloric consumption, caloric expenditure, energy balance and rate of weight loss or gain.
17. An apparatus for deriving a state parameter of an individual, comprising:
a processor;
a sensor for generating a sensor output signal comprising data indicative of a rate of heat flowing off said individual's body;
a sensor for generating a sensor output signal comprising data indicative of a resistance of said individual's skin to an electric current, said sensor output signals being directed to an electronic communication link with said processor;
wherein said processor automatically determines a context of said individual by using said data indicative of the rate of heat flowing off said individual's body, and said data indicative of the resistance of said individual's skin to an electric current; and
wherein said processor utilizes said context to predict the energy expenditure of said individual.
18. The apparatus according to claim 17 , wherein the processor uses a naïve Bayesian classifier and a linear regression to determine the context.
19. The apparatus according to claim 17 , wherein the processor uses a regression algorithm to determine each context.
20. The apparatus according to claim 17 , wherein the processor computes a longitudinal accelerometer average.
21. The apparatus according to claim 17 , wherein the processor computes a transverse accelerometer sum of average differences.
22. The apparatus according to claim 17 , wherein the processor computes a heat flux.
23. The apparatus according to claim 17 , wherein the processor computes a vector sum of transverse and longitudinal accelerometer sum of absolute differences.
24. The apparatus according to claim 17 , wherein the processor computes a basal metabolic rate.
25. The apparatus according to claim 17 , wherein the processor further comprises a context detector, the context detector comprising a naïve Bayesian classifier for predicting a context of the individual using at least one of a longitudinal accelerometer average, a transverse accelerometer sum of average differences and a heat flux.