System and Method for Mining Data Using Haptic Feedback

• US 20150120777A1
• Filed: 10/24/2014
• Published: 04/30/2015
• Est. Priority Date: 10/24/2013
• Status: Abandoned Application

• Current Assignee: Olivia Ramos
• Original Assignee: Olivia Ramos
• Inventors: Ramos, Olivia
• Application Number:
  US14/523,313
• Publication Number:
  US 20150120777A1
• Time in Patent Office: Days
• US Class Current: 707/776
• CPC Class Codes: G06F 16/24573 using data annotations, e.g. user-defined metadata
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06F 16/26 Visual data mining; Browsing structured data
• CPC Class Codes: G06F 3/014 Hand-worn input/output arrangements, e.g. data gloves
• CPC Class Codes: G06F 3/016 Input arrangements with force or tactile feedback as computer generated output to the user

Abstract

Data from at least one outside data source containing Big Data is translated into a virtual three-dimensional object that identifies data of interest. In an embodiment, the data is translated into a tactile three-dimensional object that can be felt, for example, with a haptic controller. Embodiments allow for navigation, mining, and structuring of the data, as well as facilitating real time analysis of the data.

Claims

1. A system for mining data from a Big Data data set, comprising:

a user interface through which a user enters a query comprising one or more search terms to query one or more outside data sources containing the Big Data for data responsive to the query;

a visualization module to generate a three-dimensional representation of the responsive data, wherein the three-dimensional representation is divided into subdivisions with one subdivision corresponding to each data element in the responsive data, and wherein the visualization module generates one or more extrusions that reflect how relevant data underlying each extruded subdivision is to the query; and

an interface to present the three-dimensional representation of the responsive data generated by the visualization module.

2. The system recited in claim 1, further comprising a local data storage into which data responsive to the query is stored.

3. The system recited in claim 2, further comprising one or more annotations stored with each data element in the data responsive to the query.

4. The system recited in claim 3, wherein each data element has an original data ID, and each annotation is associated with one or more original data IDs to link each annotation to one or more data elements.

5. The system recited in claim 3, wherein each annotations has an annotation ID, and each data element in the responsive data is association with one or more annotation IDs to link each data element to one or more annotations.

6. The system recited in claim 1, further comprising an extrusion parameter configuration interface to allow a user to configure the appearance of the extrusions.

7. The system recited in claim 1, further comprising:

a haptic glove; and

a panhaptic interface to control the haptic glove, wherein the haptic glove allows the user to feel the extrusions.

8. The system recited in claim 7, wherein the haptic glove allows a user to feel the shape of an extrusion.

9. The system recited in claim 7, wherein the haptic glove allows a user to feel the sharpness of an extrusion.

10. The system recited in claim 1, wherein the top of an extrusion identifies an outside data source from where at least a portion of the data underlying the extrusion originated.

11. The system recited in claim 1, wherein the top of an extrusion identifies at least one search term.

17. The method recited in claim 1, further comprising providing a panhaptic interface that controls a haptic glove, wherein the haptic glove allows the user to feel the extrusions.

12. A method for mining data from a Big Data data set, comprising:

entering a query comprising one or more search terms to query one or more outside data sources for data responsive to the query;

generating a three-dimensional representation of the responsive data;

dividing the three-dimensional representation of the responsive data into subdivisions with one subdivision corresponding to each data element in the responsive data;

generating one or more extrusions that reflect how relevant data underlying each extruded subdivision is to the query; and

presenting the three-dimensional representation of the responsive data generated by the visualization module.

13. The method recited in claim 12, further comprising storing the responsive data into a local data storage.

14. The method recited in claim 13, further comprising storing one or more annotations stored with each data element in the data responsive to the query.

15. The method of claim 14, further comprising:

assigning each data element an original data ID; and

associating each annotation with one or more original data IDs to link each annotation to one or more data elements.

16. The method of claim 14, further comprising:

assigning an annotation ID to each annotation; and

associating each data element in the responsive data is association with one or more annotation IDs to link each data element to one or more annotations.

18. The method recited in claim 12, further comprising identifying an outside data source from where at least a portion of the data underlying the extrusion originated with the top of an extrusion.

19. The method recited in claim 12, further comprising identifying at least one search term with the top of an extrusion.