US2020305762A1PendingUtilityA1

Information processing apparatus, information processing system, and insole

Assignee: SONY CORPPriority: Jun 12, 2015Filed: Jun 2, 2020Published: Oct 1, 2020
Est. expiryJun 12, 2035(~8.9 yrs left)· nominal 20-yr term from priority
Inventors:Takashi Nakao
A61B 5/6807G16H 20/30G16H 50/20A61B 5/7475G01L 1/16A61B 2562/164A61B 5/224A61B 5/7455A61B 5/743A61B 5/1036G16H 50/30A61B 5/486A61B 2562/04G01L 1/205A61B 5/6829A61B 2562/046G16H 40/63A61B 5/7405G01L 1/20A61B 2562/0247G16H 10/60
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Claims

Abstract

An information processing apparatus including circuitry configured to acquire weight distribution information of a subject by at least one sensor, analyze the acquired weight distribution information, and initiate a providing of feedback information based on the analyzed weight distribution information.

Claims

exact text as granted — not AI-modified
1 . An information processing apparatus comprising:
 circuitry configured to:
 acquire weight distribution information of a subject measured by at least one sensor, 
 acquire another weight distribution information of another subject measured by another at least one sensor, 
 analyze the acquired weight distribution information; 
 generate feedback information based on the analyzed weight distribution information by learning; and 
 initiate an outputting of the feedback information so as to enable an output device to output the feedback information to the subject. 
   
     
     
         2 . The information processing apparatus according to  claim 1 ,
 wherein the subject is a person, and   wherein the feedback information is visualized to notify the weight distribution information to the person.   
     
     
         3 . The information processing apparatus according to  claim 1 ,
 wherein the subject is a person, and   wherein the person is notified to another person based on the acquired weight distribution information.   
     
     
         4 . The information processing apparatus according to  claim 1 ,
 wherein the analyzed weight distribution information specifies a habit.   
     
     
         5 . The information processing apparatus according to  claim 1 , wherein the circuitry is further configured to record the weight distribution information in a computer-readable medium to be sold as teaching materials. 
     
     
         6 . The information processing apparatus according to  claim 1 , wherein the subject is an object, and
 wherein the circuitry is further configured to output the weight distribution information for recommending a specific object.   
     
     
         7 . The information processing apparatus according to  claim 1 , wherein the learning includes learning a change in the weight distribution information of the acquired weight distribution information. 
     
     
         8 . The information processing apparatus according to  claim 1 , wherein the subject is an object. 
     
     
         9 . The information processing apparatus according to  claim 1 , wherein the feedback information provides guidance for moving or shifting weight of the subject. 
     
     
         10 . The information processing apparatus according to  claim 1 , wherein the feedback information comprises weight distribution data including strength and distribution of weight. 
     
     
         11 . The information processing apparatus according to  claim 1 , wherein the output device includes an eyewear terminal. 
     
     
         12 . The information processing apparatus according to  claim 1 , wherein the output device includes a speaker. 
     
     
         13 . The information processing apparatus according to  claim 1 , wherein the output device includes a stimulation mechanism, and
 wherein the stimulation mechanism generates stimulus to a sole.   
     
     
         14 . The information processing apparatus according to  claim 1 , wherein the feedback information is generated based on a result of a comparison of the acquired weight distribution information to a model weight distribution information. 
     
     
         15 . The information processing apparatus according to  claim 1 , wherein the feedback information is outputted when a difference between the acquired weight distribution information and a model weight distribution information exceeds a predetermined value. 
     
     
         16 . The information processing apparatus according to  claim 1 , wherein the feedback information is generated based on a result of a comparison of the acquired weight distribution information to the acquired another weight distribution information. 
     
     
         17 . The information processing apparatus according to  claim 1 , wherein the acquired weight distribution information is stored with associated time of detection. 
     
     
         18 . The information processing apparatus according to  claim 1 , wherein the circuitry is further configured to:
 acquire position information of the subject and the another subject; and   control the outputting of the feedback information to the subject at a timing based on the acquired position information of the subject and the another subject.   
     
     
         19 . An information processing method, the method being executed via a processor having circuitry, and comprising:
 acquiring weight distribution information of a subject measured by at least one sensor,   acquiring another weight distribution information of another subject measured by another at least one sensor,   analyzing the acquired weight distribution information;   generating feedback information based on the analyzed weight distribution information by learning; and   outputting feedback information so as to enable an output device to output the feedback information to the subject.   
     
     
         20 . A non-transitory computer-readable medium having embodied thereon a program, which when executed by a computer causes the computer to execute a method, the method comprising:
 acquiring weight distribution information of a subject measured by at least one sensor,   acquiring another weight distribution information of another subject measured by another at least one sensor,   analyzing the acquired weight distribution information;   generating feedback information based on the analyzed weight distribution information by learning; and   outputting feedback information so as to enable an output device to output the feedback information to the subject.

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