SYSTEMS AND METHODS USING A WEARABLE DEVICE TO PREDICT AN INDIVIDUALS DAILY ROUTINE
First Claim
1. A computer-system-implemented method, the computer system having at least one programmed processor to implement the method, the method comprising:
- continuously collecting a plurality of types of data components with respect to an individual obtained from at least one wearable sensor device; and
taking a byte structure wherein each bit of the byte structure corresponds to a distinct type of data component among the plurality of types of data components obtained from the at least one wearable sensor device, the computer system;
(i) assigning bits based on the continuously collected data components according to the byte structure;
(ii) storing at least one byte structure for the individual;
(iii) accessing data stored with respect to at least one other individual;
(iv) determining a type for the individual based on the similarity of the data structure for the individual to at least one data structure for another individual; and
(v) based on the determined type and the individual'"'"'s collected data components, predicting at least one component of the individual'"'"'s daily routine.
16 Assignments
0 Petitions
Accused Products
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.
13 Citations
8 Claims
-
1. A computer-system-implemented method, the computer system having at least one programmed processor to implement the method, the method comprising:
-
continuously collecting a plurality of types of data components with respect to an individual obtained from at least one wearable sensor device; and taking a byte structure wherein each bit of the byte structure corresponds to a distinct type of data component among the plurality of types of data components obtained from the at least one wearable sensor device, the computer system; (i) assigning bits based on the continuously collected data components according to the byte structure; (ii) storing at least one byte structure for the individual; (iii) accessing data stored with respect to at least one other individual; (iv) determining a type for the individual based on the similarity of the data structure for the individual to at least one data structure for another individual; and (v) based on the determined type and the individual'"'"'s collected data components, predicting at least one component of the individual'"'"'s daily routine. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
-
Specification