Microsoft Technology Licensing, LLC

Michael Harley Notter

Julia Schwarz

Sheng Kai Tang

Joshua Kyle Neff

Nicholas Ferianc Kamuda

Mathew Julian Lamb

Sophie Stellmach

Adam Edwin Behringer

Kenneth Mitchell Jakubzak

Jenny Kam

Amy Mun Hong

Noe Moreno Barragan

Examples are disclosed that relate to hand gesture-based emojis. One example provides, on a display device, a method comprising receiving hand tracking data representing a pose of a hand in a coordinate system, based on the hand tracking data, recognizing a hand gesture, and identifying an emoji corresponding to the hand gesture. The method further comprises presenting the emoji on the display device, and sending an instruction to one or more other display devices to present the emoji.

Hand gesture-based emojis

A method for single-handed microgesture input comprises receiving hand tracking data for a hand of a user. A set of microgesture targets that include software functions are assigned to positions along a length of a first finger. The received hand tracking data is analyzed by a gesture recognition machine. A location of a thumbtip of the hand of the user is determined relative to the positions along the first finger. Responsive to determining that the thumbtip is within a threshold distance of the first finger at a first position along the length of the first finger, a corresponding first microgesture target is designated for selection. Selection of the first microgesture target is enabled based on a duration the thumbtip is at the first position. Responsive to detecting a confirmation action, the corresponding microgesture target executes.

Single-handed microgesture inputs

A method for single-handed microgesture input comprises receiving hand tracking data for a hand of a user. A set of microgesture targets that include software functions are assigned to positions along a length of a first finger. A visual affordance including indicators for two or more assigned microgesture targets is provided to the user. The received hand tracking data is analyzed by a gesture recognition machine. A location of a thumbtip of the hand of the user is determined relative to the positions along the first finger. Responsive to determining that the thumbtip is within a threshold distance of the first finger at a first position along the length of the first finger, an indicator for a corresponding first microgesture target is augmented, and then further augmented based on a duration the thumbtip is at the first position. Responsive to detecting a confirmation action, the corresponding microgesture target executes.

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Woodinville, WA, United States of America

Michael Harley Notter