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.

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.

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.

Abstract: Methods, architectures, and algorithms to improve content transfer performance, smoothness and efficiency among multiple electronic computing devices are provided. In one example, an electronic computing device includes a plurality of sensors or devices, a communication interface, a memory device configured to store computer-executable instructions, and a processor, wherein the processor is configured to determine a proximity of a user relative to the electronic computing device in an environment detected by the plurality of the sensors or devices and determine a transfer of a content based on a proximity metric stored from the memory device.