Mobile device officially entered the 9-axis sensing new era

There will be more and more sensors built into smart phones in the future. In addition to accelerometers, geomagnetic sensing (electronic compasses), GPS global positioning systems, proximity sensors, and gyroscopes, many smart phones are more likely to use atmospheric pressure sensors in the future for altitude measurements. Once these data from accelerometers, gyroscopes, electronic compasses, and pressure sensors are integrated, it is expected that positioning services (placement estimation) within the building will be realized. The future positioning system will further enter a new era of 3D positioning. .

It is understood that the acceleration sensor was originally used for landing detection of hard disk (HDD), and the angular velocity sensor was originally used for anti-shake of the camera and the forward direction compensation of the car navigation system. It was around 2005-2007. , Begin to be used for the detection of "vibration" and "tilt" actions. Because this kind of application was developed, the mobile device that can detect how the user moves the body through the acceleration sensor is also on the market. This includes the familiar Nintendo console "Wii" and Apple Inc.'s " "iPhone" and other products.

A motion sensor is a generic name of a sensor used to detect the physical movement amount of an electronic device, such as an acceleration sensor and an angular velocity sensor. In recent years, a large number of sensors have appeared on high-order mobile devices. Based on the output information of these sensors, the user can infer how "the user moves the device" and "how far the user moves the device in what direction" for further device applications.

Since various mobile devices such as smart phones have recently been equipped with a large number of 3-axis acceleration sensors, angular velocity sensors, and geomagnetic sensors, the mobile device has officially entered the “9-axis” equipped with three 3-axis sensors. Sensing a new era. Through this combination of 9-axis sensors, the data it outputs can be used to deduce more subtle user actions. For example, Pedestrian Dead Reckoning (PDR), in which a user's walking state is estimated in a room, and Augmented Reality (AR) in which a real space and a virtual space are linked to each other, seems to be increasingly widespread.

After the motion sensor enters a new era of 9-axis, in addition to important parameters such as the accuracy, size, and price of the sensor, application software has also become important. Moreover, these softwares must have the ability to cope with the output signals captured by the sensors, quickly and correctly interpret the information and make relative reactions, and their importance will become higher and higher.