US 11,537,239 B1 · Diffusion-based handedness classification for touch-based input

Abstract

Methods, systems, apparatuses, and computer program products are provided herein for determining the handedness of input provided by a user via a touch interface. For instance, for each touch-based input detected, a score indicating a probability whether the touch-based input was inputted by a particular hand of the user is generated. A classification for the touch-based input is then generated based on a drift diffusion model-based technique in which inter-dependencies between a series of touch-based input are approximated. The determined classifications are aggregated and compared to threshold(s) to determine the handedness of the user. For example, if the aggregated classifications meet a first threshold, then a determination is made that touch-based input provided by a user was inputted by the user's left hand. If the aggregated classifications meet a second threshold, then a determination is made that touch-based input provided by the user was inputted by the user's right hand.

Claims20

Dependent claims

A computing device, comprising:

at least one processor circuit;
and
at least one memory that stores program code configured to be executed by the at least one processor circuit, the program code comprising:
a handedness classifier configured to:
receive, by a touch interface of the computing device, a first touch-based input applied by a contact instrument;
generate a score indicating a probability whether the first touch-based input was inputted by a particular hand of a user;
generate a first classification for the first touch-based input based at least on the score, a second classification generated for a previously-received touch-based input, and a diffusion factor representative of a dependency between the first touch-based input and the previously-received touch-based input;
determine whether the first classification meets a first predetermined threshold or a second predetermined threshold;
in response to a determination that the first classification meets the first predetermined threshold, classify the first touch-based input as being inputted from the left hand of the user;
and
in response to determination that the first classification meets the second predetermined threshold, classify the first touch-based input as being inputted from the right hand of the user.

8 more elements

A method implemented on a computing device, comprising:

receiving, by a touch interface of the computing device, a first touch-based input applied by a contact instrument;
generating a score indicating a probability whether the first touch-based input was inputted by a particular hand of a user;
generating a first classification for the first touch-based input based at least on the score, a second classification generated for a previously-received touch-based input, and a diffusion factor representative of a dependency between the first touch-based input and the previously-received touch-based input;
determining whether the first classification meets a first predetermined threshold or a second predetermined threshold;
in response to determining that the first classification meets the first predetermined threshold, classifying the first touch-based input as being inputted from the left hand of the user;
and
in response to determining that the first classification meets the second predetermined threshold, classifying the first touch-based input as being inputted from the right hand of the user.

4 more elements

A computer-readable storage medium having program instructions recorded thereon that, when executed by at least one processor of a computing device, perform a method, the method comprising:

receiving, by a touch interface of the computing device, a first touch-based input applied by a contact instrument;
generating a score indicating a probability whether the first touch-based input was inputted by a particular hand of a user;
generating a first classification for the first touch-based input based at least on the score, a second classification generated for a previously-received touch-based input, and a diffusion factor representative of a dependency between the first touch-based input and the previously-received touch-based input;
determining whether the first classification meets a first predetermined threshold or a second predetermined threshold;
in response to determining that the first classification meets the first predetermined threshold, classifying the first touch-based input as being inputted from the left hand of the user;
and
in response to determining that the first classification meets the second predetermined threshold, classifying the first touch-based input as being inputted from the right hand of the user.

4 more elements

Dependencies are inferred from the claim text.

Diffusion-based handedness classification for touch-based input

Life of this patent

Diffusion-based handedness classification for touch-based input

Life of this patent

Abstract

Claims20