System and method for creating a proximity map of plurality of living beings and objects

• US 7,598,854 B2
• Filed: 02/27/2006
• Issued: 10/06/2009
• Est. Priority Date: 03/01/2005
• Status: Active Grant

• Current Assignee: Chon Meng Wong
• Original Assignee: Chon Meng Wong
• Inventors: Wong, Chon Meng
• Primary Examiner(s): BLOUNT, ERIC
• Application Number:
  US11/363,103
• Publication Number:
  US 20070106775A1
• Time in Patent Office: 1,317 Days
• Field of Search: 340/539.13, 340/573.1, 340/572.1, 340/573.3, 340/505, 340/539.1, 340/539.12, 340/539.16, 340/10.1, 340/825.49
• US Class Current: 340/539.13
• CPC Class Codes: G01S 13/74 Systems using reradiation of radio waves, e.g. secondary radar systems; Analogous systems
• CPC Class Codes: G01S 5/0284 Relative positioning
• CPC Class Codes: G01S 5/14 Determining absolute distances from a plurality of spaced points of known location

Abstract

A proximity network map defines who and what objects have come in contact of each other including location and time. This map selects the list people who have come in contact with known infected people based on contagious disease epidemiology criteria to control its spread, or to prevent radiation poisoning, limit bio-chemicals exposure, etc. These people then undergo testing and quarantine procedures. It monitors hygiene practices and reduces nosocomial infections in hospitals and mitigates the pandemic flu threat by controlling contamination. It controls people interaction, information flow in a high security environment, control crime or gang activities. Each person or object carrying a proximity-sensing unit with unique ID records all units it encountered over a period of time. This information is stored with time stamp in a relational database and transferred to network servers. The databases are then replication throughout via a central web database server for retrieval and analysis.

Claims

1. A contact tracking system comprising:

means for maintaining a database of contact information;

a plurality of mobile proximity sensing units, each unit containing means for maintaining contact history entries including

a relative proximity to another contacted unit;

a unique identifier of the another contacted unit; and

a timestamp of the contact with the another contacted unit; and

a contact map data entry device including means for

receiving contact history entries from the plurality of mobile proximity sensing units;

condensing redundant contact history entries by eliminating complementary contact information; and

uploading condensed contact history entries to the means for maintaining the database of contact information.

2. The contact tracking system of claim 1, wherein each contact map data entry device of a plurality of contact map data entry devices uploads condensed contact history entries to the network server only after receiving contact history entries from another contact map data entry device.

3. A method of tracking contacts between a plurality of mobile proximity sensing units comprising:

(a) maintaining, on a plurality of mobile proximity sensing units, contact history entries, each contact history entry including,

(i) proximity to another contacted unit,

(ii) a unique identifier of the another contacted unit, and

(iii) a timestamp of the contact with the another contacted unit;

(b) transmitting contact history entries from the plurality of mobile proximity sensing units to at least one contact map data entry device;

(c) uploading, from the at least one contact map data entry device, contact data;

(d) maintaining, with a network server, a database of contact information; and

(e) in response to a request for a history of contacts with a mobile proximity sensing unit of interest, (i) identifying a first set of mobile proximity sensing units that were in contact with the mobile proximity sensing units, and (ii) identifying a second set of mobile sensing units that were in contact with the first set of mobile proximity sensing units.

4. The method of claim 3, further comprising clearing contact history entries from a given mobile proximity sensing unit after the given unit transmits contact history entries to the at least one contact map data entry device.

5. The method of claim 3, wherein each contact history entry further includes a relative vector location with respect to the another contacted unit.

6. The method of claim 3, further comprising sensing at least one of temperature, radiation exposure, and virus exposure during the contact with the another contacted unit.

7. The method of claim 3, further comprising:

querying the database of contact information;

identifying mobile proximity sensing units corresponding to the query; and

generating a report of individuals corresponding to the identified mobile proximity sensing units.

8. The method of claim 3 wherein the step of identifying a first set of mobile proximity sensing units that were in contact with a mobile proximity sensing unit of interest includes a step of generating a matrix of distances between the mobile proximity sensing unit of interest and other mobile proximity sensing units.

9. The method of claim 3 wherein the step of identifying a first set of mobile proximity sensing units that were in contact with a mobile proximity sensing unit of interest includes steps of:

(i) identifying a set of mobile proximity sensing units that were in contact with a mobile proximity sensing unit of interest during a first time period,

(ii) identifying a set of mobile proximity sensing units that were in contact with the mobile proximity sensing unit of interest during a second time period, and

(iii) from the sets of mobile proximity sensing units that were in contact with the mobile proximity sensing unit of interest during the first and second time periods, forming the first set of mobile proximity sensing units that were in contact with a mobile proximity sensing unit of interest.

10. The method of claim 3 wherein the step of identifying a first set of mobile proximity sensing units that were in contact with the mobile proximity sensing unit of interest includes a step of sorting entries in a matrix of distances between the mobile proximity sensing unit of interest and other mobile proximity sensing units.