Apple Inc.

Michael J Beyhs

Thayne M Miller

Brian T Gleeson

Megan A McClain

Mark A Salada

Julian Quintana

Christopher Brian Fleizach

Tu K Nguyen

Behrooz Shahsavari

Shawn R Scully

Charles Maalouf

Hojjat Seyed Mousavi

Lilian H Liang

Warren J Seto

Camille Moussette

Jean-Pierre M Mouilleseaux

Brenton A Baugh

Madeleine S Cordier

David H Bloom

Miao He

Wesley William Zuber

Jacob L Matlick

Brigit E Lamberson

Scott Peter Krueger

Peter C Tsoi

An electronic watch includes a housing defining a side surface of the electronic watch, a transparent cover coupled to the housing and defining a front surface of the electronic watch, an image-sensing element, and a crown extending from the side of the housing and defining an imaging surface. The crown may include a light-directing feature configured to direct, onto the image-sensing element, an image of an object in contact with the imaging surface.

Crown for an electronic watch

A watch can include a watch body and a band for securing the watch to the user. The watch body can detect an identification of the band or combination of band portions, which can serve as an input to initiate actions performed by the watch body. For example, a type, model, color, size, or other characteristic of a band can be determined and used to select a corresponding action performed by the watch body. Identification of the band can be performed by components of the watch body that also serve other purposes. The watch body can respond to the identification of a particular band by performing particular functions, such as changing an aspect of a user interface or altering settings of the watch body.

Identification of watch bands

A device implementing a system for machine-learning based gesture recognition includes at least one processor configured to, receive, from a first sensor of the device, first sensor output of a first type, and receive, from a second sensor of the device, second sensor output of a second type that differs from the first type. The at least one processor is further configured to provide the first sensor output and the second sensor output as inputs to a machine learning model, the machine learning model having been trained to output a predicted gesture based on sensor output of the first type and sensor output of the second type. The at least one processor is further configured to determine the predicted gesture based on an output from the machine learning model, and to perform, in response to determining the predicted gesture, a predetermined action on the device.

Machine-learning based gesture recognition using multiple sensors

Contact or movement gestures between a first body part and a second body part can be detected. Sense circuitry can be configured to sense a signal at the sense electrode (e.g., configured to contact the second body part) in response to a drive signal applied to the drive electrode (e.g., configured to contact the first body part). Processing circuitry can be configured to detect contact in accordance with a determination that one or more criteria are met (e.g., an amplitude criterion and a non-distortion criterion). Additionally or alternatively, processing circuitry can be configured to detect a movement gesture in accordance with a determination that one or more criteria are met (e.g., a contact criterion and a movement criterion).

Skin-to-skin contact detection

In accordance with some embodiments, a method is performed at an electronic device with a display, an input region that is distinct from the display, and one or more tactile output generators for generating tactile outputs. The method includes: detecting a press input on the input region with a finger; and in response to detecting the press input on the input region: in accordance with a determination that the input region is not separated from the finger by an interstitial material, generating a first tactile output; and in accordance with a determination that the input region is separated from the finger by a first interstitial material, generating a second tactile output that is different from the first tactile output.

Devices, methods, and graphical user interfaces for interaction with an intensity-sensitive input region

An input device includes an input structure, a magnet attached to the input structure, and an electromagnet. The magnet rotates when the electromagnet is activated, thereby rotating the input structure. The magnet and input structure rotate about a pivot in order to provide haptic and/or visual feedback to a user. The pivot may attach the magnet and input structure to a body, which in turn may be affixed to, or part of, an electronic device. The electromagnet can encircle the body and/or magnet.

Compact pivoting input device

Disclosed herein is a dynamically shapeable haptic interface, which can include a drive mechanism, a tactile mechanism, and a display. The display can emit light towards the drive mechanism in the form of image(s). The emitted light can activate a plurality of switches located between coil(s) included in the drive mechanism and the display. The plurality of switches, when activated, can allow current(s), supplied by a source, to pass through the coil(s). The current passing through the coils can create magnetic fields. The magnetic fields can collectively form a magnetic profile. The magnetic profile can cause the tactile mechanism to render shape(s) on the surface of the haptic interface. The tactile mechanism can include magnetic component(s), such as ferrous particles, magnets, and/or magnetic pins. The magnetic component(s) can move based on the magnetic profile and, along with one or more layers of material, can render the shape(s).

Haptic interface for user input device

An electronic device includes a display and an input region separate from the display. The device detects a first portion of a first input on the input region. In response to detecting the first portion of the first input: if the first portion of the first input meets first criteria that do not require a characteristic intensity of the first input to increase above a first intensity threshold in order to be met, the device displays a precursor object of a user interface object that includes one or more selectable options. While displaying the precursor object, a second portion of the first input is detected on the input region, wherein an intensity of the first input increases above the first intensity threshold. In response to detecting the increase in intensity, the device reveals the user interface object by an amount that varies with a current intensity of the first input.

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San Francisco, CA, United States of America

Michael J Beyhs