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Google patents show that SoliMotion technology will be used in future Chromebooks and wearables




Google has introduced Soli technology to Pixel 4 smartphones. It was described by Google as a miniature radar that understands human movements on a variety of scales, from finger taps to body movements. The patented Apple has announced its technology in many reports, including a report titled “Google plans to introduce a new aerial gesture system for the Pixel 4” and several patents ((01 and 02)). Was taken up. Tomsguide says Pixel 5 dropped Soli on smartphones, but Google is back in technology.

Of course, Google hasn’t publicly announced where Soli will return, but Tomsguide speculates that Soli could be used in future products in the Nest division.

Patently Apple also discovered a fourth-quarter Google patent suggesting that Soli could be used with future Chromebooks, Pixels, and other Android Wear OS-based watches.

Google’s patent begins by noting that computing devices, such as desktops and laptop computers, have a variety of user interfaces that allow users to interact with them. However, interacting with these interfaces can be inconvenient or unnatural, such as when trying to interact with 3D objects on the screen using the keyboard or clicking the mouse.

Google’s patents generally cover user gestures, a technology related to user-provided gesture detection for the purpose of interacting with computing devices.

Sensor-limited computing devices, such as laptops with a single front-facing camera, may collect and analyze image data to detect user-provided gestures. For example, the gesture can be a hand swipe or rotation corresponding to a user command, such as scrolling or rotating the display down.

However, such cameras may not be able to capture enough image data to accurately detect gestures. For example, all or part of a gesture may be too fast for a camera with a relatively slow frame rate to catch up. In addition, many cameras provide very little depth information, which can make it difficult for a typical laptop camera to detect complex gestures through the camera. To address these issues, the system can be configured to use data from sensors outside the system for gesture detection.

In this regard, the system has one or more visual sensors configured to collect image data, and one or more processors configured to analyze image data in combination with data from external sensors. May include.

As a particular example, the system can be a laptop computer and one or more visual sensors can be a single front camera provided on the laptop computer. Examples of external sensors may include various sensors provided to one or more wearable devices worn by the user, such as smartwatches or head-mounted devices.

The processor can receive image data from one or more visual sensors that capture the user’s movements provided as gestures. For example, the image data may include a series of frames taken by a laptop front camera that captures the movement of the user’s hand.

However, due to slow camera frame rates or lack of depth information, the motion data may not be accurate enough to fully capture all the relevant information embedded in the motion.

Therefore, the processor can also receive motion data from one or more wearable devices worn by the user. For example, the motion data may include inertial measurements measured by the smartwatch IMU in terms of the smartwatch, and each measurement may be associated with a time stamp provided by the smartwatch watch. For example, inertial measurements may include accelerometer measurements from a smartwatch accelerometer.

As another example, inertial measurements may include rotation or orientation measurements from a smartwatch gyroscope.

Google patent drawing. 5 below shows an example of detecting a gesture using signal strength measurement. Figure. FIG. 9 shows an exemplary flowchart that can be executed by one or more processors. Gestures can be detected based on the recognized parts of the user’s body and one or more correlations between the image data and the received motion data.

In the next round of patent numbers, Google’s patent diagram. 4 below shows an example of detecting gestures using inertial measurement. Figure. An example of detecting a gesture using voice data is shown. And Figure 1. An example of detecting gestures using sensor data from multiple wearable devices including smart glasses is shown.

Google’s patent was filed in the second quarter of 2019 and was published by the US Patent Office last month.

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