ADAPTIVE HUMAN MACHINE INTERFACES FOR PRESSURE SENSITIVE CONTROL IN A DISTRACTED OPERATING ENVIRONMENT AND METHOD OF USING THE SAME

• US 20140267114A1
• Filed: 03/14/2014
• Published: 09/18/2014
• Est. Priority Date: 03/15/2013
• Status: Abandoned Application

• Current Assignee: Joyson Safety Systems Acquisition, LLC (Ningbo Junsheng Investment Group Co., Ltd.)
• Original Assignee: TK Holdings Incorporated (Ningbo Junsheng Investment Group Co., Ltd.)
• Inventors: Lisseman, Jason Carl, Andrews, David
• Application Number:
  US14/211,665
• Publication Number:
  US 20140267114A1
• Time in Patent Office: Days
• US Class Current: 345/173
• CPC Class Codes: G06F 2203/011 Emotion or mood input determined on the basis of sensed human body parameters such as pulse, heart rate or beat, temperature of skin, facial expressions, iris, voice pitch, brain activity patterns
• CPC Class Codes: G06F 3/016 Input arrangements with force or tactile feedback as computer generated output to the user
• CPC Class Codes: G06F 3/0414 using force sensing means to determine a position
• CPC Class Codes: G06F 3/0488 using a touch-screen or digitiser, e.g. input of commands through traced gestures

Abstract

An example method for providing an adaptive human machine interface that increases selectability and reduces distractibility of an operator controlling a system in a distracted operating environment is provided. The method can include receiving a combination of gestures on a pressure sensitive interface device. The combination can include at least two gestures received in temporal proximity, and each of the gestures can be characterized by a discretized pressure metric having a plurality of value ranges and a discretized time metric. The method can include selecting a control message from a plurality of control messages based on the combination of gestures and sending the selected control message to the system. The sizes of each of the value ranges for the discretized pressure metric and discretized time metric can be tuned to reduce distraction of the operator. The value ranges can be adjustable according to at least one characteristic of the operator.

Claims

1. A method for providing an adaptive human machine interface that decreases distractibility of an operator controlling a system in a distracted operating environment, comprising:

receiving a gesture on a pressure sensitive input device, the gesture being characterized by a discretized pressure metric having a plurality of value ranges;

selecting a control message from a plurality of control messages based on the gesture; and

sending the selected control message to the system,

wherein each of the value ranges for the discretized pressure metric is defined based on a predictable electrical property-force response curve for the pressure sensitive input device, and

wherein the value ranges are adjustable according to at least one characteristic of the operator.

2. The method of claim 1, further including providing at least one of active tactile feedback or a sound in response to at least one of receiving the gesture or selecting the control message.

3. The method of claim 1, further comprising:

learning the at least one characteristic of the operator; and

adjusting the value ranges of the discretized pressure metric based on the at least one characteristic of the operator, wherein at least one of the value ranges of the discretized pressure metric is shifted along the predictable electrical property-force response curve.

4. The method of claim 1, wherein the at least one characteristic of the operator is at least one of a peak or average force applied to the pressure sensitive input device.

5. The method of claim 1, wherein the predictable electrical property-force response curve is at least one of a power log curve or a resistance-force response curve.

6. The method of claim 1, wherein the gesture is further characterized by a time metric.

7. The method of claim 1, wherein the gesture comprises at least two gestures received in temporal proximity on the pressure sensitive input device, each of the gestures being characterized by a discretized pressure metric having a plurality of value ranges and a time metric, and wherein the control message is selected based on a combination of the at least two gestures.

8. The method of claim 1, wherein the gesture comprises one or more of a tap gesture, a hold gesture, and a swipe gesture.

9. A system, comprising:

a pressure sensitive input device;

a memory; and

a processor in communication with the memory, the processor configured to;

receive a signal corresponding to a gesture received on the pressure sensitive input device, the signal being characterized by a discretized pressure metric having a plurality of value ranges;

select a control message from a plurality of control messages based on the gesture; and

send the selected control message to a sub-system being controlled,

wherein each of the value ranges for the discretized pressure metric is defined based on a predictable electrical property-force response curve for the pressure sensitive input device, and

wherein the value ranges are adjustable.

10. The system of claim 9, further including at least one of:

an active tactile feedback device that provides haptic feedback in response to at least one of receiving the gesture or selecting the control message;

or

a speaker that provides a sound in response to at least one of receiving the gesture or selecting the control message.

11. The system of claim 9, wherein the processor is further configured to:

learn at least one characteristic of an operator; and

adjust the value ranges of the discretized pressure metric based on the at least one characteristic of the operator, wherein at least one of the value ranges of the discretized pressure metric is shifted along the predictable electrical property-force response curve.

12. The system of claim 11, wherein the at least one characteristic of the operator is at least one of a peak or average force applied to the pressure sensitive input device.

13. The adaptive human machine interface of claim 9, wherein the predictable electrical property-force response curve is at least one of a power log curve or a resistance-force response curve.

14. The system of claim 9, wherein the gesture is further characterized by a time metric.

15. The system of claim 9, wherein the gesture comprises at least two gestures received in temporal proximity on the pressure sensitive input device, each of the gestures being characterized by a discretized pressure metric having a plurality of value ranges and a time metric, and wherein the control message is selected based on a combination of the at least two gestures.

16. The system of claim 9, wherein the gesture comprises one or more of a tap gesture, a hold gesture, and a swipe gesture.

17. A computer readable medium comprising instructions which, when executed by a processor, perform a method comprising:

receiving a gesture on a pressure sensitive input device, the gesture being characterized by a discretized pressure metric having a plurality of value ranges;

selecting a control message from a plurality of control messages based on the gesture; and

sending the selected control message to a sub-system being controlled,

wherein each of the value ranges for the discretized pressure metric is defined based on a predictable electrical property-force response curve for the pressure sensitive input device, and

wherein the value ranges are adjustable.

18. The computer-readable medium of claim 17, wherein the method further includes providing at least one of active tactile feedback or a sound in response to at least one of receiving the gesture or selecting the control message.

19. The computer-readable medium of claim 17, wherein the method further includes:

learning at least one characteristic of an operator; and

adjusting the value ranges of the discretized pressure metric based on the at least one characteristic of the operator, wherein at least one of the value ranges of the discretized pressure metric is shifted along the predictable electrical property-force response curve.

20. The computer-readable medium of claim 17, wherein the method further including:

receiving a plurality of gestures; and

selecting the control message based on the plurality of gestures.