# US 10,872,213 B2 · Virtual mapping of an indoor space using indoor position and vector tracking > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 10,872,213 B2 - Document ID: US10872213B2 - Status: Granted - Kind: B2 - Application number: 16/441,490 - Filed: 2019-06-14 - Published: 2019-09-26 - Granted: 2020-12-22 - Earliest claimed: 2017-12-07 - Assignees: Kacchip, LLC - Applicants: Kacchip, LLC - Inventors: Michael C. Mountz - Web page: https://patentgrep.com/patent/US10872213B2 ## CPC - G06K 7/10366: {the interrogation device being adapted for miscellaneous applications} - G06F 1/163: {Wearable computers, e.g. on a belt} - G06F 1/1698: {the I/O peripheral being a sending/receiving arrangement to establish a cordless communication link, e.g. radio or infrared link, integrated cellular phone (details of antennas disposed inside a computer H01Q1/2266)} - G06F 3/014: {Hand-worn input/output arrangements, e.g. data gloves} - G06F 3/017: {Gesture based interaction, e.g. based on a set of recognized hand gestures (interaction based on gestures traced on a digitiser G06F3/04883)} - G06K 7/10475: {arrangements to facilitate interaction with further interrogation devices, e.g. such that at least two interrogation devices may function and cooperate in a network of such devices} - G06K 19/07758: {arrangements for adhering the record carrier to further objects or living beings, functioning as an identification tag} - G06K 19/07762: {the adhering arrangement making the record carrier wearable, e.g. having the form of a ring, watch, glove or bracelet (record carriers for insertion in the human body for medical purposes A61B90/00; record carriers adapted for attachment to animals A01K11/00)} - H04L 12/282: {based on user interaction within the home (receiver circuitry for displaying additional information being controlled by a remote control apparatus H04N21/42204)} - H04L 12/2829: {involving user profiles according to which the execution of a home appliance functionality is automatically triggered} - H04W 4/02: Services making use of location information - G06K: GRAPHICAL DATA READING (image or video recognition or understanding G06V); PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M) - H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72) ## Abstract A control system for indoor position and vector tracking includes a plurality of radio frequency (RF) transmitters to detect a mobile radio frequency identification (RFID) tag. The control system includes an intelligent controller to receive location information from the RF transmitters and to calculate a vector associated with the mobile RFID tag. The intelligent controller may utilize the vector as a control input to an algorithm for selecting a control operation for one or more of plurality of networked devices. ## Claims ### Claim 1 A method for indoor position and vector tracking, comprising: prompting a gesture of a wearable mobile radio frequency identification (RFID) tag at a first location of a wall anchor, the gesture comprising a first personal motion vector representing (1) a position and direction of movement or (2) a movement state of the wearable RFID tag within an indoor space; detecting the gesture of the wearable RFID tag using a position data obtained from the wall anchor; building, by an intelligent controller, a virtual map of the indoor space based on the detected gesture by adding the first location of the wall anchor to the virtual map; calculating a second personal motion vector; learning, by the intelligent controller, a second location of a networked device proximate to the wearable RFID tag using the second personal motion vector and the first location of the wall anchor; and adding, by the intelligent controller, the second location of the networked device to the virtual map. ### Claim 2 (depends on 1) The method of claim 1, wherein the intelligent controller learns the second location of the networked device by: in response to determining that the second location of the networked device is unknown, detecting a state change of the networked device; associating the state change with the second personal motion vector; and selecting the second location from a plurality of candidate locations based on the first location of the wall anchor and the association of the state change with the second personal motion vector. ### Claim 3 (depends on 1) The method of claim 1, further comprising: calculating a third personal motion vector associated with the networked device; associating the third personal motion vector with the second location of the networked device; and selecting an operation of the networked device based on the third personal motion vector. ### Claim 4 (depends on 1) The method of claim 1, further comprising: building a list of candidate locations for the networked device based on the second personal motion vector; and selecting the second location of the networked device from the list of candidate locations based on detecting a state change of the networked device associated with a third personal motion vector. ### Claim 5 (depends on 1) The method of claim 1, wherein the position data comprises first position data and second position data, and the method further comprises: receiving, from the wall anchor, the first position data corresponding to a first detection of the wearable RFID tag; receiving, the wall anchor, the second position data corresponding to a second detection of the wearable RFID tag; calculating, from the first position data and the second position data, the first personal motion vector. ### Claim 6 (depends on 1) The method of claim 1, wherein the method further comprises: correlating one or more first state changes of the networked device with a unique identity associated with the wearable RFID tag and a third personal motion vector; predicting a second state change based on detecting the third personal motion vector that corresponds to the unique identity and the correlated one or more first state changes; and selecting, by the intelligent controller, an operation to cause the second state change of the networked device based on the unique identity and the third personal motion vector. ### Claim 7 (depends on 1) The method of claim 1, further comprising: transmitting, by the intelligent controller, a control instruction to the networked device, the control instruction selected based on a set of preference data obtained by correlating one or more status changes of the networked devices with a unique identity of the wearable RFID tag and a third personal motion vector. ### Claim 8 A system for indoor position and vector tracking, comprising: a wall anchor configured to transmit a position data associated with a wearable RFID tag; a processor communicatively coupled to the wall anchor and operable to: receive the position data associated with the wearable RFID tag; calculate a first personal motion vector of the wearable RFID tag; detect a gesture of the wearable RFID tag at a first location of the wall anchor using the calculated first personal motion vector; build a virtual map of the indoor space by adding the first location of the wall anchor to the virtual map; calculate a second personal motion vector; learn a second location of a network device proximate to the wearable RFID tag using the second personal motion vector and the first location of the wall anchor; and add the second location of the networked device to the virtual map. ### Claim 9 (depends on 8) The system of claim 8, wherein the processor is further operable to: detect the gesture of the wearable RFID tag at the first location of the wall anchor by prompting the gesture at the first location. ### Claim 10 (depends on 8) The system of claim 8, wherein the processor is further operable to learn the second location of the networked device by: in response to determining that the second location of the networked device is unknown, detect a state change of the networked device; associate the state change with the second personal motion vector; and select the second location from a plurality of candidate locations based on the first location of the wall anchor and the association of the state change with the second personal motion vector. ### Claim 11 (depends on 8) The system of claim 8, the processor further operable to: calculate a third personal motion vector associated with the networked device; associate the third personal motion vector with the second location of the networked device; and select an operation of the networked device based on the third personal motion vector. ### Claim 12 (depends on 8) The system of claim 8, the processor further operable to: build a list of candidate locations for the networked device based on the second personal motion vector; and select the second location of the networked device from the list of candidate locations based on detecting a state change of the networked device associated with a third personal motion vector. ### Claim 13 (depends on 8) The system of claim 8, the processor further operable to: transmit a control instruction to the networked device, the control instruction selected based on a set of preference data obtained by correlating one or more status changes of the networked devices with a unique identity of the wearable RFID tag and a third personal motion vector. ### Claim 14 A method comprising: receiving, from a wall anchor at a first location, a position data associated with the wearable RFID tag; calculating a first personal motion vector of the wearable RFID tag associated with the wall anchor; building, by an intelligent controller, a virtual map of an indoor space by adding the first location of the wall anchor to the virtual map; calculating a second personal motion vector; learning, by the intelligent controller, a second location of a network device proximate to the wearable RFID tae using the second personal motion vector and the first location of the wall anchor; and adding, by the intelligent controller, the second location of the networked device to the virtual map. ### Claim 15 (depends on 14) The method of claim 14, further comprising: prompting, by the intelligent controller, a gesture of the wearable RFID tag at the first location. ### Claim 16 (depends on 14) The method of claim 14, further comprising: correlating one or more other personal motion vectors with one or more prior operational states of the networked device to determine a future operation of the networked device. ### Claim 17 (depends on 14) The method of claim 14, further comprising: determining a preference for an operation of the networked device by correlating a selected operational state of the networked device with an environmental factor. ### Claim 18 (depends on 14) The method of claim 14, further comprising: providing an interface instruction to a user device that prompts a requested operation with respect to the networked device; obtaining a gesture in response to the requested operation; associating the gesture and a third personal motion vector with the requested operation; and performing, subsequent to the associating, the requested operation on the networked device in response to detecting the gesture and the third personal motion vector. ### Claim 19 (depends on 14) The method of claim 14, wherein building the virtual map comprises: detecting a gesture of the wearable RFID tag at the first location of the wall anchor using the calculated first personal motion vector. ### Claim 20 (depends on 14) The method of claim 14, further comprising: building the virtual map by observing a plurality of personal motion vectors within the indoor space.