METHOD AND APPARATUS FOR MOTION TRACKING DURING SIMULATION OF CLINICAL EMERGENCY SETTINGS

• US 20150379882A1
• Filed: 06/26/2014
• Published: 12/31/2015
• Est. Priority Date: 06/26/2014
• Status: Abandoned Application

• Current Assignee: Laerdal Medical AS (Laerdal Medical Corporation)
• Original Assignee: Laerdal Medical AS (Laerdal Medical Corporation)
• Inventors: GAITN, Valeria, NILSEN, Kjetil Lnne
• Application Number:
  US14/315,711
• Publication Number:
  US 20150379882A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G09B 19/003 Repetitive work cycles; Sequence of movements
• CPC Class Codes: G09B 23/30 Anatomical models G09B23/281 - G09B23/288 take precedence
• CPC Class Codes: H04R 1/08 Mouthpieces; Microphones; Attachments therefor

Abstract

An apparatus for motion tracking during a simulation of a clinical emergency setting includes a camera configured to capture a clinical emergency training area used for the simulation, a wearable microphone associated with a participant in the simulation, a wearable identifier associated with the participant, and a computer system interoperably coupled to the camera and the microphone and configured to capture data received during the simulation from the camera and data received during the simulation from the wearable microphone, process the data received from the camera and the data received from the wearable microphone, present visual traces indicative of position of the participant on a map of the clinical emergency training area as a function of time, and present audio derived from the wearable microphone in synchronization with the presented visual traces.

Claims

1. An apparatus for motion tracking during a simulation of a clinical emergency setting, the apparatus comprising:

a camera configured to capture a clinical emergency training area used for the simulation;

a wearable microphone associated with a participant in the simulation;

a wearable identifier associated with the participant;

a computer system interoperably coupled to the camera and the microphone and configured to;

capture data received during the simulation from the camera and data received during the simulation from the wearable microphone;

process the data received from the camera and the data received from the wearable microphone;

present visual traces indicative of position of the participant on a map of the clinical emergency training area as a function of time; and

present audio derived from the wearable microphone in synchronization with the presented visual traces.

2. The apparatus of claim 1, wherein the wearable identifier comprises at least one of a color-coded item and an RFID tag worn by the participant.

3. The apparatus of claim 1, wherein the computer system is configured to perform speech recognition based, at least in part, on data derived from the wearable microphone.

4. The apparatus of claim 3, wherein the computer system is configured to perform voice recognition.

5. The apparatus of claim 1, comprising:

a wearable microphone associated with a second participant in the simulation;

a wearable identifier associated with the second participant; and

wherein each of the wearable microphones and each of the wearable identifiers is uniquely associated with a particular participant in the simulation.

6. The apparatus of claim 5, wherein the computer system is configured to perform speech recognition based, at least in part, on data derived from the wearable microphone associated with the participant and on data derived from the wearable microphone associated with the second participant.

7. The apparatus of claim 6, wherein, responsive to recognition of a particular word or phrase, the computer system is configured to detect the presence or absence of closed-loop communication between the participant and the second participant.

8. The apparatus of claim 7, wherein the computer system is configured to trigger an alarm based on the detection of the absence of closed-loop communication between the participant and the second participant.

9. The apparatus of claim 7, wherein the computer system is configured to perform voice recognition.

10. The apparatus of claim 5, wherein the wearable visual identifier associated with the participant is a first color and the wearable visual identifier associated with the second participant is a second color.

11. The apparatus of claim 10, wherein a visual trace associated with the participant is the first color and a visual trace associated with the second participant is the second color.

12. The apparatus of claim 1, comprising:

an identifier associated with an object in the clinical emergency training area; and

wherein the computer system is configured to present a visual trace indicative of position of the object on the map as a function of time.

13. The apparatus of claim 12, wherein the object is a manikin used in the simulation.

14. The apparatus of claim 12, wherein the object is medical equipment used in the simulation.

15. The apparatus of claim 14, wherein the medical equipment is linked in advance of the simulation to at least one of a particular participant, task, position in the clinical emergency training area, and sequence of events.

16. A method of motion tracking during a simulation of a clinical emergency setting, the method comprising:

capturing video via a camera of a clinical emergency training area used for the simulation, the captured video comprising video of a participant wearing a unique wearable identifier;

capturing audio via a wearable microphone associated with the participant;

a computer system interoperably coupled to the camera and the wearable microphone;

capturing data received during the simulation from the camera and data received during the simulation from the wearable microphone;

processing the data received from the camera and the data received from the wearable microphone;

presenting visual traces indicative of position of the participant on a map of the clinical emergency training area as a function of time; and

presenting audio derived from the wearable microphone in synchronization with the presented visual traces.

17. The method of claim 16, wherein the wearable identifier comprises at least one of a color-coded item and an RFID tag worn by the participant.

18. The method of claim 16, comprising the computer system performing speech recognition based, at least in part, on data derived from the wearable microphone.

19. The method of claim 18, comprising the computer system performing voice recognition.

20. The method of claim 16, comprising:

wherein the captured audio comprises captured audio of a second participant wearing a wearable microphone;

wherein the captured video comprises captured video of a second participant wearing a unique wearable identifier; and

wherein each of the wearable microphones and each of the wearable identifiers is uniquely associated with a particular participant in the simulation.

21. The method of claim 20, comprising the computer system performing speech recognition based, at least in part, on data derived from the wearable microphone associated with the participant and on data derived from the wearable microphone associated with the second participant.

22. The method of claim 21, comprising, responsive to the computer system performing speech recognition of a particular word or phrase, the computer system detecting the presence or absence of closed-loop communication between the participant and the second participant.

23. The method of claim 22, comprising the computer system triggering an alarm based on the computer system having detected the absence of closed-loop communication between the participant and the second participant.

24. The method of claim 22, comprising the computer system performing voice recognition.

25. The method of claim 20, wherein the wearable identifier associated with the participant is a first color and the wearable identifier associated with the second participant is a second color.

26. The method of claim 25, wherein a visual trace associated with the participant is the first color and a visual trace associated with the second participant is the second color.

27. The method of claim 16, comprising:

wherein the captured video comprises captured video of a unique identifier associated with an object in the clinical emergency training area; and

the computer system presenting a visual trace indicative of position of the object on the map as a function of time.

28. The method of claim 27, wherein the object is a manikin used in the simulation.

29. The method of claim 27, wherein the object is medical equipment used in the simulation.

30. The method of claim 29, comprising linking the medical equipment in advance of the simulation to at least one of a particular participant, task, position in the clinical emergency training area, and sequence of events.