US2014310223A1PendingUtilityA1

Systems and methods making recommendations based on data from wearable devices

Assignee: BODYMEDIA INCPriority: Feb 16, 2007Filed: Nov 17, 2013Published: Oct 16, 2014
Est. expiryFeb 16, 2027(~0.6 yrs left)· nominal 20-yr term from priority
G06F 16/38G06F 16/90344G06F 16/248A61M 2021/0027G06Q 30/0251A61B 5/4818G06Q 30/0271G16H 50/70A61B 5/4833G06Q 30/0242A61B 5/6802A61M 21/02A61B 5/746G06Q 30/0277G06N 5/04A61B 5/72A61B 5/1123A61B 5/4806G06N 20/00G06Q 30/0269A61B 5/4836G06F 16/285G16B 99/00G06F 16/24575G16H 50/20A61M 21/00A61M 2021/005A61B 5/7282G16H 50/50A61B 5/4815G06Q 40/08G09B 19/00A61B 5/4812A61B 5/1118A61B 5/6801A61B 5/7278A61B 5/168A61B 5/742A61B 5/0826G06F 16/25G09B 5/00A61B 5/021A61B 5/7275G16H 10/60A61B 5/747A61B 5/7475G16B 40/00G16B 50/00G16H 40/63G16H 50/30
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Claims

Abstract

The methods and systems described herein may involve determining at least one lifeotype of at least one individual, analyzing the at least one lifeotype, and delivering content to at least one individual based on the analysis. The methods and systems described herein may involve providing a game, determining at least one lifeotype of at least one player of the game, analyzing the at least one lifeotype, and affecting the game play based on the analysis. The methods and systems described herein may involve providing an interactive space, determining at least one lifeotype of at least one individual in the space, analyzing the at least one lifeotype, and modifying at least one attribute of the space based on the analysis.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A computer-system-implemented method, the computer system having at least one programmed processor to implement the method, the method comprising:
 continuously collecting data components with respect to an individual from a wearable sensor device; and   collecting another set of data components with respect to the individual from a source separate from the wearable device;   the computer system—
 (i) using the data components for the individual from the wearable sensor device and said another set of data components to determine the individual's social context; and 
 (ii) based on the determination of the social context, determining at least one recommendation for the individual. 
   
     
     
         2 . The method of  claim 1 , wherein the context is determined at least in part based on the output of a plurality of sensors of the wearable sensor device. 
     
     
         3 . The method of  claim 1 , wherein the other data components include data components selected from the group consisting of: derived data, analytical status data, contextual data, continuous data, discrete data, time series data, event data, raw data, processed data, metadata, third party data, physiological state data, psychological state data, survey data, medical data, genetic data, environmental data, transactional data, economic data, socioeconomic data, demographic data, psychographic data, sensed data, continuously monitored data, manually entered data, inputted data, continuous data and real-time data. 
     
     
         4 . The method of  claim 1 , wherein the social context comprises information about the types of individuals present. 
     
     
         5 . The method of  claim 1 , wherein the social context comprises information about the types of devices present. 
     
     
         6 . The method of  claim 1 , wherein the recommendation comprises at least one of a restaurant recommendation, a sporting activity recommendation, a bar recommendation, a recommendation of other individuals for a group social activity and a recommendation for a social gathering.

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