Device for implementing body fluid analysis and social networking event planning

• US 9,704,205 B2
• Filed: 04/18/2016
• Issued: 07/11/2017
• Est. Priority Date: 02/28/2014
• Status: Active Grant

• Current Assignee: Christine E. Akutagawa, Lucas Myslinski
• Original Assignee: Christine E. Akutagawa, Lucas Myslinski
• Inventors: Myslinski, Lucas J., Akutagawa, Christine E.
• Primary Examiner(s): Goldberg, Ivan R
• Assistant Examiner(s): Stewart, Crystol
• Application Number:
  US15/131,210
• Publication Number:
  US 20160232625A1
• Time in Patent Office: 449 Days
• Field of Search: None
• CPC Class Codes: A61B 10/0064 for taking sweat or sebum samples measuring sweat production A61B5/4266
• CPC Class Codes: A63B 24/00 Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
• CPC Class Codes: G01K 13/20 Clinical contact thermometers for use with humans or animals
• CPC Class Codes: G06F 16/90324 using system suggestions
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: G06K 19/0707 the arrangement being capable of collecting energy from external energy sources, e.g. thermocouples, vibration, electromagnetic radiation G06K19/0702 takes precedence
• CPC Class Codes: G06Q 10/1095 Meeting or appointment
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0207 Discounts or incentives, e.g. coupons or rebates
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: G06Q 50/12 Hotels or restaurants
• CPC Class Codes: G06T 7/20 Analysis of motion motion estimation for coding, decoding, compressing or decompressing digital video signals H04N19/43, H04N19/51
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: H04L 51/214 using selective forwarding
• CPC Class Codes: H04L 51/222 using geographical location information, e.g. messages transmitted or received in proximity of a certain spot or area
• CPC Class Codes: H04L 51/52 for supporting social networking services
• CPC Class Codes: H04L 65/403 Arrangements for multi-party communication, e.g. for conferences data switching systems for conference H04L12/18; arrangements for connecting several subscribers to a common circuit, i.e. affording conference facilities H04M3/56; television conferencing systems H04N7/15
• CPC Class Codes: H04W 4/21 for social networking applications

Abstract

Event planning using social networking enables an efficient implementation of planning an event, as well as minimizing network traffic and optimizing other technological aspects of life. Additional information acquired by sensors and other technology is able to improve the quality of the event planning. Social network information as well as the additional information is able to be used to select aspects of the event such as time, location, and/or many other aspects of the event.

Claims

1. A wearable device comprising:

a. a device body;

b. a body fluid sensor coupled to the device body, the body fluid sensor configured for sensing one or more body fluids used to generate body fluid analysis information, wherein the body fluid sensor comprises a moisture sensor including a sweat collection implementation including;

one or more electrodes configured to determine an amount of sweat on a user'"'"'s skin, and a plurality of zones, wherein each zone of the plurality of zones is configured to receive a specific ion; and

c. a processor configured for;

i. determining information in common between a plurality of contacts of a social networking system;

ii. analyzing additional information including a current location of at least one contact of the plurality of contacts of the social networking system, the body fluid analysis information for the at least one contact of the plurality of contacts of the social networking system, and meal information of the at least one contact of the plurality of contacts of the social networking system; and

iii. providing an event recommendation by computing recommendation scores based on the information in common and the additional information, wherein a location of the event recommendation is affected by the body fluid analysis information due to menu options available at the location.

2. The wearable device of claim 1 wherein the meal information of the at least one contact of the plurality of contacts is determined using a smart home appliance including a camera device and a weighing device, further wherein the smart home appliance identifies a food item based on an image acquired using the camera device and the weighing device, further wherein cuisines of recent meals are not recommended unless a pattern of preferring a same cuisine is determined.

3. The wearable device of claim 1 wherein analyzing the additional information comprises determining if a group coupon offered to a group of users has been purchased by the at least one contact of the plurality of contacts and increasing a recommendation score of an event associated with the purchased group coupon.

4. The wearable device of claim 1 wherein analyzing the additional information comprises determining a type of event based on keywords detected in a communication between the plurality of contacts and determining a relationship of the plurality of contacts, further wherein the event recommendation includes a list of event recommendations wherein a user selects a subset less than all of the list of event recommendations, and only the subset less than all of the list of event recommendations is sent to the plurality of contacts of the social networking system.

5. The wearable device of claim 1 wherein analyzing the additional information comprises analyzing separate event planning of contacts of the plurality of contacts including determining if a potential conflict exists between the plurality of contacts, and implementing a flashing implementation of names of conflicting contacts, further wherein determining the potential conflict exists based on previous invitations, and when a contact has accepted a previous invitation involving another contact, then the contact and the another contact are determined to not conflict.

6. The wearable device of claim 1 wherein analyzing the additional information comprises utilizing timestamps of events to determine which information is most relevant such that the information that is less recent based on the timestamps is considered less relevant resulting in fewer points added to a recommendation score for an event, and the information that is more recent based on the timestamps is considered more relevant resulting in more points added to the recommendation score for the event.

7. The wearable device of claim 1 wherein the body fluid analysis information is generated in real-time using the wearable device, further wherein the event recommendation is only provided for 30 seconds or less, and when a contact of the plurality of contacts does not accept the event recommendation, then one or more additional event recommendations are provided separately for 30 seconds or less.

8. The wearable device of claim 1 wherein analyzing the additional information comprises determining an activity pattern of the at least one contact of the plurality of contacts of the social networking system, wherein the activity pattern includes a relationship between an activity and food, wherein determining the activity pattern includes storing historical activity data and locating matches of repetitive activity data by comparing a combined location information and timestamp information, and when the combined location information and timestamp information match for a plurality of days, then the activity pattern is determined.

9. The wearable device of claim 1 wherein analyzing the additional information comprises analyzing a to-do list of the at least one contact of the plurality of contacts of the social networking system to determine if items on the to-do list are located near an event to recommend, and increasing a recommendation score of the event based on the to-do list, wherein the items on the to-do list that have an importance ranking below an importance threshold are ignored when computing the recommendation score, further wherein a user ranks the items on the to-do list such that an item at a top of the to-do list has a highest priority when computing the recommendation score, further wherein computing the recommendation score includes calculating a base recommendation score and a bonus score, wherein the bonus score is based on the to-do list and is added to the base recommendation score to generate a total recommendation score.

10. The wearable device of claim 1 wherein analyzing the additional information includes analyzing an adventure rating of the at least one contact, wherein the adventure rating is determined based on selections of likes and dislikes the at least one contact of the plurality of contacts of the social networking system, wherein the adventure rating of the at least one contact increases when the at least one contact selects like, and the adventure rating of the at least one contact decreases when the at least one contact selects dislike, and wherein computing the recommendation scores factors in the adventure rating of the at least one contact.

11. The wearable device of claim 1 wherein providing the event recommendation by computing the recommendation scores comprises utilizing points for items including likes, dislikes, traffic, wait times, recent meals, and group coupons to compute the event recommendation, wherein the items are each weighted.

12. The wearable device of claim 1 wherein providing the event recommendation utilizes a process of elimination by eliminating events that have a recommendation score below a first threshold, then increasing the first threshold to a second threshold and eliminating the events that have the recommendation score below the second threshold, and repeating the process until a specified number of events remain.

13. The wearable device of claim 1 wherein providing the event recommendation includes providing a detailed event recommendation including an event and specific items related to the event including menu recommendations, wherein the menu recommendations include at least one menu item from a menu, wherein the menu recommendations are tailored to a user based on personal preferences of the user, further wherein the menu recommendations are based on the body fluid analysis information.

14. The wearable device of claim 1 wherein providing the event recommendation comprises determining a percentage of likelihood of attending an event and providing a color-coded percentage of likelihood of attending the event for each of the contacts, and calculating and providing alternative events with a higher likelihood of attending success, further wherein if a contact of the plurality of contacts cancels, then recalculating the event recommendation.

15. The wearable device of claim 1 wherein the processor is further configured for providing a list of contacts to select for an event wherein the list of contacts is determined based on the information in common and the additional information, further wherein a percentage of likelihood of attending the event is displayed for each contact.

16. The wearable device of claim 1 further comprising a heating component configured for providing heat to a user, and a cooling component configured for providing cold to the user, wherein the wearable device communicates with at least one of the heating component and the cooling component to trigger at least one of the heating component and the cooling component based on the body fluid analysis information.

17. The wearable device of claim 1 further comprising an accelerometer configured for determining motion of a user, wherein the motion of the user is used to determine exercise information by comparing the motion of the user with a database of motions to determine which exercise is performed, further wherein the accelerometer is used to determine caloric information related to the exercise, and the caloric information is utilized when computing the event recommendation.

18. The wearable device of claim 1 wherein the body fluid sensor is configured to analyze sweat of a user, wherein the body fluid analysis information is utilized for an exercise recommendation.

19. A method comprising:

a. determining, with a wearable device, information in common between a plurality of contacts;

b. sensing, with a body fluid sensor of the wearable device, one or more body fluids to generate body fluid analysis information, wherein the body fluid sensor comprises a moisture sensor including a sweat collection implementation including one or more electrodes configured to determine an amount of sweat on a user'"'"'s skin, and a plurality of zones, wherein each zone of the plurality of zones is configured to receive a specific ion; and

c. determining, with the wearable device, information in common between a plurality of contacts of a social networking system;

d. analyzing, with the wearable device, additional information including a current location of at least one contact of the plurality of contacts of the social networking system, the body fluid analysis information for the at least one contact of the plurality of contacts of the social networking system, and meal information of the at least one contact of the plurality of contacts of the social networking system, including utilizing previously performed analysis to avoid repeating a same analysis;

e. providing, with the wearable device, an event recommendation by computing recommendation scores based on the information in common and the additional information;

f. providing, with the wearable device, extra information about the event recommendation after receiving a rejection or acceptance regarding the event recommendation; and

g. automatically generating content, with the wearable device, wherein the automatically generated content is tailored to a user by modifying an appearance of the automatically generated content based on a characteristic of the user.

20. A system comprising:

a. a first wearable device with a first heating element and a first cooling element, the first heating element configured to heat the user, and the first cooling element configured to cool the user; and

b. a second wearable device including;

i. a device body;

ii. a body fluid sensor coupled to the device body, the body fluid sensor configured for sensing one or more body fluids used to generate body fluid analysis information; and

iii. a processor configured for;

(1) determining information in common between a plurality of contacts of a social networking system;

(2) analyzing additional information including a current location of at least one contact of the plurality of contacts of the social networking system, the body fluid analysis information for the at least one contact of the plurality of contacts of the social networking system, and meal information of the at least one contact of the plurality of contacts of the social networking system;

(3) providing an event recommendation by computing recommendation scores based on the information in common and the additional information, wherein the first wearable device and the second wearable device communicate wirelessly; and

(4) communicating with the first wearable device to trigger at least one of the first cooling element and the first heating element based on the body fluid analysis information.