Meta Platforms Technologies, LLC

Facebook Technologies, LLC

Peter Andrew Matsimanis

Pascal Alexander Bentioulis

Tahir Turan Caliskan

Igor Gurovski

Per Ingemar Kristiansson

Per-Erik Bergstrom

Per-Erik Bergström

Johan Olof Anders Wennersten

Turan Caliskan

A wearable device includes an analog-to-digital converter (ADC) configured to digitize biopotential signals received from biopotential-signal-sensing channels. The wearable device also includes a supplementary processor that samples the digital biopotential signals from the ADC. The supplementary processor sends the digital biopotential signals to a buffer until a determination is made that a particular number of the digital biopotential signals is stored in the buffer. Additionally, the supplementary processor transmits an indication to a primary processor that the particular number of the digital biopotential signals is stored in the buffer. In addition to the ADC and the supplementary processor, the wearable device includes the aforementioned primary processor. The primary processor is configured to operate in a low-power mode before receiving the indication and, after receiving the indication, process the particular number of digital biopotential signals from the buffer to detect in-air hand gestures performed by a user of the wearable device.

Coprocessor for biopotential signal pipeline, and systems and methods of use thereof

The various implementations described herein include methods and systems for providing a force dimension to interface elements. In one aspect, a method includes (i) communicatively coupling a wearable device that includes electromyography (EMG) sensors with an activatable device that includes a mechanical user interface element; (ii) in accordance with an activation of the user interface element, obtaining data from the EMG sensors that corresponds to the activation; (iii) determining, based on the data from the EMG sensors, whether the activation includes an activation force that meets predefined criteria; (iv) in accordance with a determination that the activation force meets the predefined criteria, causing execution of a first function corresponding to the user interface element; and (v) in accordance with a determination that the activation force meets the predefined criteria, causing execution of a second function corresponding to the user interface element.

Activation force detected via neuromuscular-signal sensors of a wearable device, and systems and methods of use thereof

Systems and methods for transitioning a call between two devices are disclosed herein. An origin device for the call is determined based on a first position of an ultra-wideband (UWB) device. A destination device for the call is then determined based on a second position of the UWB device. The UWB device sends transition commands to both the origin device and the destination device, each transition command including an identifier of the other device. Using the identifier of the origin device, the destination device connects to the call the origin device is currently participating in. When the origin device detects that the destination device has connected to the call, the origin device disconnects from the call.

Ultra-wideband control of smart streaming devices

Systems and methods for controlling a smart streaming device are disclosed herein. The smart streaming device is controlled based on a position of an ultra-wideband (UWB) device. Based on the position of the UWB device, one or more service events for the smart streaming device can be conducted. For example, a privacy mode of the smart streaming device can be enabled or disabled based on the position of the UWB device. In another example, a distance can be determined between the smart streaming device and the position of the UWB device. Based on the distance, an output configuration of the smart streaming device can be set, such as dynamically adjusting volume or text size on the smart streaming device.

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Menlo Park, CA, United States of America

Peter Andrew Matsimanis