Discrete cursor movement based on touch input

• US 10,175,779 B2
• Filed: 05/28/2014
• Issued: 01/08/2019
• Est. Priority Date: 05/28/2014
• Status: Active Grant

• Current Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Original Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Inventors: Nikolsky, Oleg Vassilievich, Kasravi, Kas
• Primary Examiner(s): Abdin, Shaheda
• Application Number:
  US15/306,561
• Publication Number:
  US 20170068335A1
• Time in Patent Office: 1,686 Days
• CPC Class Codes: G06F 1/16 Constructional details or arrangements
• CPC Class Codes: G06F 1/1694 the I/O peripheral being a single or a set of motion sensors for pointer control or gesture input obtained by sensing movements of the portable computer
• CPC Class Codes: G06F 2200/1636 Sensing arrangement for detection of a tap gesture on the housing
• CPC Class Codes: G06F 2203/04104 Multi-touch detection in digitiser, i.e. details about the simultaneous detection of a plurality of touching locations, e.g. multiple fingers or pen and finger
• CPC Class Codes: G06F 3/03 Arrangements for converting the position or the displacement of a member into a coded form
• CPC Class Codes: G06F 3/0346 with detection of the device orientation or free movement in a 3D space, e.g. 3D mice, 6-DOF [six degrees of freedom] pointers using gyroscopes, accelerometers or tilt-sensors
• CPC Class Codes: G06F 3/0484 for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
• CPC Class Codes: G06F 3/0488 using a touch-screen or digitiser, e.g. input of commands through traced gestures
• CPC Class Codes: G06F 3/04883 for inputting data by handwriting, e.g. gesture or text

Abstract

In one example implementation according to aspects of the present disclosure, a method may include detecting, by a computing system, a touch input on the computing system by analyzing a change in a data stream from a sensor of the computing system by applying a first signal de-noising algorithm to the data stream. The method may further include determining, by the computing system, the nature of the detected touch input. Additionally, the method may include generating, by the computing system, a discrete cursor movement from a set of discrete cursor movements based on the determined nature of the detected touch input.

Claims

1. A method comprising:

detecting, by a computing system, a touch input on the computing system comprising a single tap on a side surface of a housing for a display surface of the computing system, the detecting comprising analyzing a change in a data stream from a sensor of the computing system by applying a first signal de-noising algorithm to the data stream;

determining, by the computing system, the nature of the detected touch input; and

generating, by the computing system, a discrete cursor movement from a set of discrete cursor movements based on the determined nature of the detected touch input, wherein generating the discrete cursor movement comprises accessing a table in which different touch inputs are respectively matched to different discrete cursor movements, the method further comprising generating the discrete cursor movement based on a specified cursor movement matched in the table to the detected touch input.

2. The method of claim 1, further comprising:

de-noising, by the computing system, the data stream from the sensor of the computing system prior to detecting the touch input by applying a second signal de-noising algorithm to the data stream.

3. The method of claim 1, wherein the touch input is a multiple touch input.

4. The method of claim 1, wherein the set of discrete cursor movements is customizable.

5. The method of claim 1, wherein determining the nature of the detected touch input includes determining upon which surface of the computing system the touch input was received.

17. The method of claim 1, further comprising generating the discrete cursor movement based on the determined nature of the detected touch input and a currently executing application on the computing system.

18. The method of claim 1, wherein the nature of the touch input comprises a single tap to a left side surface of the computing system and the discrete cursor movement correspondingly comprises movement of the cursor laterally by one position.

6. A computing system comprising:

a processing resource;

an accelerometer to generate a signal responsive to detecting a touch input on the computing system;

a touch analysis module to analyze the signal generated by the accelerometer by applying a signal de-noising algorithm to the signal generated by the accelerometer; and

a discrete cursor movement module to determine, from a table in which different discrete cursor movements are respectively matched to different types of touch input, which discrete cursor movement is to be implemented based at least in part on a type of touch input identified by the analysis of the signal generated by the accelerometer.

7. The computing system of claim 6, further comprising:

a second accelerometer to generate a second signal responsive to detecting a touch input on the computing system; and

a third accelerometer to generate a third signal responsive to detecting a touch input on the computing system.

8. The computing system of claim 7,

wherein the signal generated by the accelerometer represents a touch input in an x-axis direction,

wherein the second signal generated by the second accelerometer represents a touch input in a y-axis direction, and

wherein the third signal generated by the third accelerometer represents a touch input in a z-axis direction.

9. The computing system of claim 8, the touch analysis module further to analyze the second signal generated by the second accelerometer by applying the de-noising algorithm to the second signal generated by the second accelerometer, and to analyze the third signal generated by the third accelerometer by applying the de-noising algorithm to the third signal generated by the third accelerometer.

10. The computing system of claim 9, the discrete cursor movement module to determine which of a discrete cursor movement from a set of discrete cursor movements to cause to be implemented based at least in part on the analysis of the signal generated by the accelerometer, based at least in part on the analysis of the second signal generated by the second accelerometer, and based at least in part on the analysis of the third signal generated by the third accelerometer.

11. The computing system of claim 6, further comprising an application programming interface (API) of the discrete cursor movement module to provide programmatic instructions to applications.

12. A computing system comprising:

a sensor;

a touch analysis module to analyze at least one of the signals generated by the sensor by applying a signal de-noising algorithm to the signal to identify a touch input to the computing system; and

a discrete cursor movement module to determine which discrete cursor movement from a predefined set of discrete cursor movements to cause to be implemented based at least in part on the analysis of the signals generated by the sensor and based on which application is currently executing on the computing system when the touch input is identified.

13. The computing system of claim 12, wherein the sensor comprises a multi-axis accelerometer.

14. The computing system of claim 12, wherein the touch input is a multiple touch input.

15. The computing system of claim 12, wherein the signal de-noising algorithm is a discrete wavelet transform algorithm.

16. The computing system of claim 12, wherein the set of discrete cursor movements is customizable.

19. The computing system of claim 12, wherein the predefined set of discrete cursor movements comprises a table in which different touch inputs are respectively matched to different discrete cursor movements.