Multi-Modal Exercise Detection Framework

    公开(公告)号:US20230025516A1

    公开(公告)日:2023-01-26

    申请号:US17382481

    申请日:2021-07-22

    Applicant: Google LLC

    Abstract: The present disclosure provides a system and method for accurately detecting exercises performed by a user through a combination of signals from a visual input device and from one or more sensors of a wearable device. For each workout type, an algorithm leverages multimodal inputs for automatic workout detection/identification. Using multiple sources of visual and gestural inputs to detect the same workout results in a higher confidence in the detection. Moreover, it allows for continued detection of the workout, including counting repetitions, even when one or more signals becomes unavailable, such as if the user moves out of a field of view of the visual input device.

    Notification delivery based on context awareness

    公开(公告)号:US11886628B2

    公开(公告)日:2024-01-30

    申请号:US17286707

    申请日:2020-05-07

    Applicant: Google LLC

    CPC classification number: G06F3/011 G06F3/016 H04W4/80

    Abstract: The present disclosure provides systems and methods for delivering notifications to a device or accessory based on the context. A host device may be wirelessly coupled to one or more accessories that are available to receive a notification. The host device may analyze a context for transmitting a notification, such as analyzing user attention and accessory state. Analyzing user attention and accessory state may be done by analyzing sensor data, such as audio input, image sensors, proximity sensors, etc. The host device may determine a content type, such as text, e-mail, news, or download, content classification, such as urgent, sensitive, or reminder, and a notification type, such as visual, audio, or haptic. The host device may select at least one of the accessories based on the context. The host device may transmit the notification to the selected accessory.

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