IP Library › Granted Patent US 12,307,166
Granted Patent B2
US 12,307,166 · App. 18/413,613 · Granted May 20, 2025

Acoustic positioning transmitter and receiver system and method

Inventors: Wilfred Edwin Booij (Oslo, NO); Knut Welle (Oslo, NO); Mattheus Franciscus Albertus Ten Veldhuis (Oslo, NO); Fritjof Boger Engelhardtsen (Oslo, NO)
Assignee: Sonitor Technologies AS
G06F30/13G01S1/725G01S1/763G01S1/78G01S5/18G01S5/183G01S15/523
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,307,166
App. No.
18/413,613
Granted
May 20, 2025
Kind
B2
Abstract

An acoustic model determination approach for a real-time locating system is disclosed. The system includes one or more transmitting devices and one or more mobile devices. The acoustic model may be determined by deriving an acoustic representation of sub-structures within the building, and then forming the acoustic model based on the acoustic representation and the location and orientation of the static acoustic transmitting device. In another embodiment, an acoustic signal is transmitted from a static acoustic transmitting device, with the reflected signals received by the same static acoustic transmitting device in a receiving mode. Based on these received acoustic signals, the acoustic model is formed based on the reflected signals and the location and orientation of the static acoustic transmitting device.

Claims (36)

1. A computer-implemented method for determining an acoustic model of a building for use in an acoustic real-time locating system, the method comprising:

deriving an acoustic representation of sub-structures within the building;

determining a location and orientation of a static acoustic transmitting device, wherein the static acoustic transmitting device includes a first transducer and a second transducer, the first transducer configured to transmit a first ultrasonic signal at a first frequency, and the second transducer configured to transmit a second ultrasonic signal at a second frequency that is different from the first frequency; and

forming the acoustic model based on the acoustic representation, the location and orientation of the static acoustic transmitting device, and acoustic attenuation of the sub-structures at the first frequency and the second frequency.

2. The computer-implemented method of claim 1 , wherein the deriving the acoustic representation comprises:

receiving a computer aided design (CAD) file of the sub-structures within the building; and

deriving the acoustic representation from the CAD file.

3. The computer-implemented method of claim 2 , wherein the deriving the acoustic representation comprises:

deriving the sub-structures from the CAD file.

4. The computer-implemented method of claim 3 , wherein the determining the location and orientation of the static acoustic transmitting device includes receiving input from a user concerning the static acoustic transmitting device.

5. The computer-implemented method of claim 3 , wherein the determining the location and orientation of the static acoustic transmitting device further includes:

using augmented reality to identify the location of the static acoustic transmitting device relative to the sub-structures in the CAD file.

6. The computer-implemented method of claim 1 , wherein the deriving the acoustic representation comprises:

surveying the sub-structures within the building using a camera of a mobile device.

7. The computer-implemented method of claim 6 , wherein the determining the location and orientation of the static acoustic transmitting device includes identifying the static acoustic transmitting device during the surveying the sub-structures.

8. The computer-implemented method of claim 6 , wherein the determining the location and orientation of the static acoustic transmitting device further includes:

using augmented reality based on the surveying the sub-structures.

9. A computer-implemented method for determining an acoustic model of a room within a building for use in an acoustic real-time locating system, the method comprising:

transmitting an acoustic signal from a static acoustic transmitting device;

receiving, at the static acoustic transmitting device, reflected signals resulting from interactions of the acoustic signal with structures forming the room, the structures including walls, ceilings and/or floors;

receiving a location and orientation of a static acoustic transmitting device; and

forming the acoustic model based on the reflected signals and the location and orientation of the static acoustic transmitting device, wherein the forming the acoustic model further includes alias mixing the reflected signals.

10. The computer-implemented method of claim 9 , wherein the static acoustic transmitting device further includes a first transducer and a second transducer, the transmitting further includes transmitting the acoustic signal at a first frequency using the first transducer, the method further comprising:

transmitting a second acoustic signal at a second frequency from the static acoustic transmitting device using the second transducer.

11. The computer-implemented method of claim 9 , further comprising:

detecting a motion of an object within the room based on determining a Doppler shift in the acoustic signal.

12. The computer-implemented method of claim 9 , further comprising:

detecting a presence of an object within the room based on an identification of a new reflector or determination of a disturbance of a signal strength of a reflected signal.

13. The computer-implemented method of claim 9 , wherein the static acoustic transmitting device further includes a beacon device, the method further comprising transmitting, by the beacon device, beacon data using a wireless transmission.

14. The computer-implemented method of claim 13 , wherein the beacon device is a Bluetooth Low Energy (BLE) beacon device or a Bluetooth beacon device.

15. The computer-implemented method of claim 13 , wherein the beacon device is a Wi-Fi beacon device or a Zigbee beacon device.

16. The computer-implemented method of claim 13 , wherein the beacon device is a near field communications beacon device.

17. The computer-implemented method of claim 13 , wherein the beacon data is indicative of an identification of the static acoustic transmitting.

18. The computer-implemented method of claim 13 , wherein the beacon data is indicative of a location of the static acoustic transmitting.

19. The computer-implemented method of claim 13 , wherein the beacon data is indicative of a location of the static acoustic transmitting within a particular subject area.

20. The computer-implemented method of claim 13 , wherein the beacon data includes information involving timing of transmissions of at least one of the acoustic signal or a radio frequency (RF) signal.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 16, 2024
From: BOOIJ, WILFRED EDWIN; WELLE, KNUT; TEN VELDHUIS, MATTHEUS FRANCISCUS ALBERTUS; ENGELHARDTSEN, FRITJOF BOGER
To: SONITOR TECHNOLOGIES AS
Reel/Frame 066138/0225 →
Continuity (3)
Continuation 16288606 · Feb 28, 2019
Provisional Application 62637518 · Mar 2, 2018
Related Publication 20240152663A1 · May 9, 2024
References Cited (18)
US 11875089B2 · Booij et al. · 2024 [cited by applicant]
US 20120113224A1 · Nguyen · 2012 [cited by examiner]
US 20160109284A1 · Hammershoi et al. · 2016 [cited by applicant]
CN 102016632A · 2011 [cited by applicant]
CN 102662159A · 2012 [cited by applicant]
EP 2679042B1 · 2017 [cited by applicant]
WO WO2004049299A1 · 2004 [cited by applicant]
WO WO2008005931A2 · 2008 [cited by applicant]
Zhou, Bing et al., “BatMapper: Acoustic Sensing Based Indoor Floor Plan Construction Using Smartphones”, Jun. 19-23, 2017, MobiSys '17, ACM. (Year: 2017). [cited by examiner]
Suarez, Rafael et al., “Archaeoacoustics of Intangible Cultural Heritage: The Sound of the Maior Ecclesia of Cluny”, Jan. 18, 2016, Journal of Cultural Heritage 19, Elsevier Masson SAS. (Year: 2016). [cited by examiner]
Zhang, Ying et al., “A Walk-Through System for Building Acoustics Evaluation Based on Virtual Environment Technology”, 2002, IEEE ICIT '02, IEEE. (Year: 2002). [cited by examiner]
Rollins, Sarah, “Acoustics of the Salt Lake Tabernacle: Characterization and Study of Spatial Variation”, Nov. 11, 2005, Thesis and Dissertations, Brigham Young University. (Year: 2005). [cited by examiner]
International Search Report, mailed Sep. 9, 2019 for Appl. No. PCT/IB2019/051626, 5 pages. [cited by applicant]
Written Opinion, mailed Sep. 9, 2019 for Appl. No. PCT/IB2019/051626, 9 pages. [cited by applicant]
Invitation to Pay Additional Fees, mailed Jul. 9, 2019 for Appl. No. PCT/IB2019/051626, 9 pages. [cited by applicant]
Lopes, Sergio Ivan Fernandes, “In Search of Reliable Centimeter-Level Indoor Positioning. A Smartphone-based Approach”, 2014, Universidade de Aveiro. (Year: 2014). [cited by applicant]
Aguilar Herrera, J.C. et al., “The Construction of an Indoor Floor Plan using a Smartphone for Future Usage of Blind Indoor Navigation”, Oct. 27-30, 2014, 2014 International Conference on Indoor Positioning and Indoor N… [cited by applicant]
Sankar, Aditya et al., “Capturing Indoor Scenes with Smartphones”, Oct. 7-10, 2012, UIST '12, ACM. (Year: 2012). [cited by applicant]