IP Library Granted Patent US 10,925,342
Granted Patent B2
US 10,925,342 · App. 16/453,987 · Granted Feb 23, 2021

Helmet communication and safety system

Inventors: Siew Kok Hui (Singapore, SG); Eng Sui Tan (Singapore, SG); Yung Kuei Gan (Singapore, SG)
Assignee: BlTwave Pte Ltd
A42B3/04G01S19/17G01S19/25G06F3/048G06F3/165
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Quick Facts
Patent No.
US 10,925,342
App. No.
16/453,987
Granted
Feb 23, 2021
Kind
B2
Abstract

Various helmet communication, entertainment, and safety techniques are enabled. For instance, a method comprises receiving, by a helmet user-interface system comprising a processor, an output from a sensor, determining, by the helmet user-interface system, whether the output comprises gesture information representative of a gesture, in response to the determining and based on a condition being determined to be satisfied, identifying, by the helmet user-interface system, a gesture type associated with the gesture information, and executing, by the helmet user-interface system, a function associated with the gesture type.

Claims (40)

1. A method, comprising:

receiving, by a helmet user-interface system comprising a processor, an output from a sensor;

determining, by the helmet user-interface system, whether the output comprises hand motion recognition information representative of a gesture, wherein the hand motion recognition information comprises pattern information indicative that a hand has traversed a space within a defined range of the sensor, and distance information indicative of an average distance of the hand from the sensor during traversal of the space;

in response to the determining and based on a condition being determined to be satisfied, identifying, by the helmet user-interface system, a gesture type associated with the hand motion recognition information; and

executing, by the helmet user-interface system, a function associated with the gesture type, wherein the function facilitates entertainment, communication, or safety.

2. The method of claim 1 , wherein the gesture is detected to have occurred less than or equal to about 30 centimeters from the sensor.

3. The method of claim 1 , wherein the sensor comprises a proximity sensor.

4. The method of claim 1 , further comprising:

in response to the executing the function, transmitting, by the helmet user-interface system, a signal to a mobile device communicatively coupled to the system.

5. The method of claim 4 , wherein the transmitting causes the mobile device to perform a task corresponding to the signal, and wherein the task comprises at least one of managing music or initiating a telephone call.

6. The method of claim 1 , wherein the condition being determined to be satisfied comprises at least one of:

the output comprising the hand motion recognition information representative of the gesture, the hand motion recognition information matching the gesture type, the output being contained within a distance limit or threshold, a gesture-input setting of helmet user-interface system being enabled, or the helmet user-interface system being communicatively coupled to a mobile device.

7. The method of claim 1 , further comprising:

generating, by the helmet user-interface system, confirmation feedback associated with the gesture type.

8. A method, comprising:

receiving, by a helmet user-interface system comprising a processor, an output from a sensor;

determining, by the helmet user-interface system, whether the output comprises trackable device motion recognition information representative of a gesture, wherein the trackable device motion recognition information comprises pattern information indicative that a trackable device has traversed a space within a defined range of the sensor, and distance information indicative of an average distance of the trackable device from the sensor during traversal of the space;

in response to the determining and based on a condition being determined to be satisfied, identifying, by the helmet user-interface system, a gesture type associated with the trackable device motion recognition information; and

executing, by the helmet user-interface system, a function associated with the gesture type, wherein the function facilitates entertainment, communication, or safety.

9. The method of claim 8 , wherein the gesture is detected to have occurred less than or equal to about 30 centimeters from a sensor.

10. The method of claim 8 , wherein the trackable device is a trackable ring or a trackable glove.

11. The method of claim 8 , further comprising:

in response to the executing the function, transmitting, by the helmet user-interface system, a signal to a mobile device communicatively coupled to the system.

12. The method of claim 11 , wherein the transmitting causes the mobile device to perform a task corresponding to the signal, and wherein the task comprises managing music.

13. The method of claim 8 , wherein the condition being satisfied comprises at least one of:

the output comprising the trackable device information representative of the gesture, the trackable device information matching the gesture type, the output being contained within a distance limit, a gesture-input setting of helmet user-interface system being enabled, or the helmet user-interface system being communicatively coupled to a mobile device.

14. The method of claim 8 , further comprising:

generating, by the helmet user-interface system, confirmation feedback associated with the gesture type.

15. A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processor, facilitate performance of operations, comprising:

receiving an output from a sensor;

determining whether the output comprises hand motion recognition information representative of a gesture, wherein the hand motion recognition information comprises information indicative that a hand has traversed a space within a defined range of the sensor, and distance information representative of an average distance of the hand from the sensor during traversal of the space;

in response to the determining and based on a condition being determined to be satisfied, identifying a gesture type associated with the gesture information; and

executing a function associated with the gesture type, wherein the function facilitates entertainment, communication, or safety.

16. The non-transitory machine-readable medium of claim 15 , wherein the gesture is detected to have occurred less than or equal to about 30 centimeters from the sensor.

17. The non-transitory machine-readable medium of claim 15 , wherein the sensor comprises a proximity sensor.

18. The non-transitory machine-readable medium of claim 15 , wherein the operations further comprise:

in response to the executing the function, transmit a signal to a mobile device communicatively coupled to the system.

19. The non-transitory machine-readable medium of claim 18 , wherein the transmitting causes the mobile device to perform a task corresponding to the signal, and wherein the task comprises initiating a telephone call.

20. The non-transitory machine-readable medium of claim 15 , wherein the condition being determined to be satisfied comprises at least one of:

the output comprising the hand motion recognition information representative of the gesture, the hand motion recognition information matching the gesture type, or the output being contained within a distance threshold.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 11, 2025
From: BITWAVE PRIVATE LIMITED
To: FAUNUS IP HOLDINGS LLC
Reel/Frame 071982/0176 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 14, 2021
From: HUI, SIEW KOK; TAN, ENG SUI; GAN, YUNG KUEI
To: BITWAVE PTE LTD
Reel/Frame 054916/0418 →
Continuity (3)
Provisional Application 62690923 · Jun 27, 2018
Provisional Application 62700185 · Jul 18, 2018
Related Publication 20200000166A1 · Jan 2, 2020
Cited By (1)
US 12,681,573