阅读说明：本技术 自动隐藏显示内容的、用于车辆的数据眼镜 (Data glasses for vehicle capable of automatically hiding display content ) 是由 P·蒂内巴赫尔 于 2019-09-25 设计创作，主要内容包括：本发明涉及一种由数据眼镜中的电子计算装置执行的方法,其中,所述数据眼镜分别至少包括电子计算装置、显示器、运动测量传感装置以及用于无线通信的装置,其中,所述方法包括：通过用于无线通信的装置接收数据眼镜所在车辆的当前转向角和当前速度；通过电子计算装置确定车辆的加速度；借助运动测量传感装置确定数据眼镜的加速度和转速；借助电子计算装置确定数据眼镜的相对加速度,即数据眼镜相对于车辆的加速度；在预定时间段上记录确定的相对加速度；借助基于神经网络或支持向量机的算法在使用记录的通过电子计算装置确定的相对加速度的情况下将数据眼镜的观看方向分为两个类别,即1)观看方向朝向车辆的环境以及2)观看方向非朝向车辆的环境；如果观看方向被分类为类别2),则隐藏数据眼镜的至少一个显示器上的显示内容。(The invention relates to a method performed by an electronic computing device in data glasses, wherein the data glasses respectively comprise at least an electronic computing device, a display, a movement measurement sensing device and a device for wireless communication, wherein the method comprises: receiving, by the means for wireless communication, a current steering angle and a current speed of a vehicle in which the data glasses are located; determining, by an electronic computing device, an acceleration of a vehicle; determining the acceleration and the rotation speed of the data glasses by means of a motion measurement sensing device; determining, by means of an electronic computing device, a relative acceleration of the data glasses, i.e. the acceleration of the data glasses relative to the vehicle; recording the determined relative acceleration over a predetermined period of time; using algorithms based on neural networks or support vector machines, the viewing directions of the data glasses are classified into two categories, namely 1) environments in which the viewing direction is oriented toward the vehicle and 2) environments in which the viewing direction is not oriented toward the vehicle, using the recorded relative accelerations determined by the electronic computing device; if the viewing direction is classified as category 2), display content on at least one display of the data glasses is hidden.)

1. A method for execution by an electronic computing device in data glasses, wherein the data glasses each include at least an electronic computing device, a display, a motion measurement sensing device, and a device for wireless communication, wherein the method comprises:

receiving, by the means for wireless communication, a current steering angle and a current speed of a vehicle in which the data glasses are located;

determining, by an electronic computing device, an acceleration of a vehicle;

determining the acceleration and the rotation speed of the data glasses by means of a motion measurement sensing device;

determining, by means of an electronic computing device, a relative acceleration of the data glasses, i.e. the acceleration of the data glasses relative to the vehicle;

recording the determined relative acceleration over a predetermined period of time;

using algorithms based on neural networks or support vector machines, the viewing directions of the data glasses are classified into two categories, namely 1) environments in which the viewing direction is oriented toward the vehicle and 2) environments in which the viewing direction is not oriented toward the vehicle, using the recorded relative accelerations determined by the electronic computing device;

if the viewing direction is classified as category 2), content displayed on at least one display of the data glasses is hidden.

2. The method according to claim 1, wherein the predetermined time period is between 10s and 30min, in particular 20s, 30s, 1min, 5min, 10min or 20 min.

3. The method according to any of the preceding claims, wherein the motion measurement sensing device is an inertial measurement sensing device.

4. The method of any preceding claim, wherein the motion measurement sensing device is one or more of: a gyroscope, an acceleration sensor, and a magnetometer.

5. The method according to any of the preceding claims, wherein the motion sensing device measures acceleration and/or rotation at a high frequency, i.e. at a frequency in the range of 50Hz to 1000Hz, in particular 100Hz, 200Hz, 500Hz or 800 Hz.

6. Data glasses configured for implementing the method according to any one of the preceding claims.

Technical Field

The invention relates to a data glasses for a vehicle, which can automatically hide display contents.

Background

Data glasses, also referred to as head mounted displays HMD, are known today. These data glasses are worn by the wearer on the head and usually have two displays, each of which is arranged directly in front of the eye of the wearer. The display displays content that appears to the user to float. The displayed content is typically fixed on the glasses, i.e. its position does not move in the display. Sometimes, consider content displayed using contact simulation, which means that the displayed content is displayed to the user spatially in association with, e.g., overlapping or adjacent to, an object in the real world. But the touch-simulated display of content is technically complex and costly.

The use of data glasses in vehicles has been considered. The following problems arise here when the content is displayed fixed on the glasses: a display such as a speed or navigation indication may be blocked by the displayed content when viewed towards the cabin of the vehicle.

Disclosure of Invention

The object of the invention is to solve the above-mentioned disadvantages. The solution is achieved by a method and data glasses according to the independent claims. Advantageous embodiments are defined in the dependent claims.

Disclosed is a method performed by an electronic computing device in data glasses that each include at least an electronic computing device, a display, a motion measurement sensing device, and a device for wireless communication, the method comprising: receiving, by the means for wireless communication, a current steering angle and a current speed of a vehicle in which the data glasses are located; determining, by an electronic computing device, an acceleration of a vehicle; determining the acceleration and the rotation speed of the data glasses by means of a motion measurement sensing device; determining, by means of an electronic computing device, a relative acceleration of the data glasses, i.e. the acceleration of the data glasses relative to the vehicle; recording the determined relative acceleration over a predetermined period of time; using algorithms based on neural networks or support vector machines, the viewing directions of the data glasses are classified into two categories, namely 1) environments in which the viewing direction is oriented toward the vehicle and 2) environments in which the viewing direction is not oriented toward the vehicle, using the recorded relative accelerations determined by the electronic computing device; if the viewing direction is classified as category 2), content displayed on at least one display of the data glasses is hidden.

It is therefore proposed here to use the sensor devices for measuring movement, as are already present in most data glasses, and the driving data (steering angle and speed and possibly longitudinal acceleration) of the vehicle to determine the relative acceleration of the data glasses relative to the reference system vehicle. Based on the relative acceleration and its variation curve or its record, a neural network or a support vector machine may be used to determine the viewing direction of the data glasses. The viewing direction of the data glasses refers to a direction that a user would view when the user looks straight ahead. Typically, starting from the point of contact on the nose, the viewing direction of the data glasses is perpendicular to the plane of the data glasses display (or possibly parallel to the temple).

Neural networks and their training are known from the prior art. The same is true of Support Vector Machines (SVMs). In this method the invention uses relative acceleration as input and two states or categories as output.

In an advantageous embodiment, the predetermined time period is between 10s and 30min, in particular 20s, 30s, 1min, 5min, 10min or 20 min. From the recordings, the neural network or SVM may determine the viewing direction of the data glasses. Essentially, the possibility of "integration" is provided for neural networks and SVMs by using recordings. The time integral of the acceleration can theoretically deduce the viewing direction of the data glasses. But for this purpose the initial viewing direction of the data glasses needs to be determined. In many cases, the absolute viewing direction of the data glasses cannot be determined. The present method enables the viewing direction to be determined and classified "roughly" without knowing the initial viewing direction. This is achieved by providing neural networks and SVMs with a "probability" of recognizing a particular pattern that appears when viewed towards the vehicle or environment.

The motion measurement sensing device is typically an inertial measurement sensing device. The motion measurement sensor is typically one or more of: a gyroscope, an acceleration sensor, and a magnetometer.

Advantageously, the motion measurement sensor device measures acceleration and/or rotation at a high frequency, i.e. at a frequency in the range of 50Hz to 1000Hz, in particular at a frequency of 100Hz, 200Hz, 500Hz or 800 Hz.

Data glasses configured to implement one of the above methods are also disclosed.

Drawings

The attached drawings are as follows:

FIG. 1 schematically illustrates data glasses according to one embodiment;

FIG. 2 shows a flow diagram of a method according to an embodiment.

Detailed Description

Fig. 1 schematically illustrates data glasses according to an embodiment. The data glasses 1 comprise a display 2 (and another display without reference numerals). Furthermore, the data glasses 1 comprise a computing unit 3 with a WiFi module for wireless data transmission and an inertial measurement unit 4. The data glasses are worn on the head like a common vision-aid appliance, and the data glasses are arranged on the nose and the ears. The data glasses implement the method shown in fig. 2.

In the method according to fig. 2, the current steering angle and the current speed of the vehicle in which the data glasses are located are received in step S1. The acceleration of the vehicle is determined from these data in step S2. The acceleration of the data glasses is determined by means of the inertial measurement sensing device installed in the data glasses in step S3 and the difference between the two accelerations is found to obtain the relative acceleration in step S3. The relative acceleration is recorded over a period of time, step S5. By means of the neural network trained for this purpose, it is determined whether the user of the data glasses is not looking toward the surroundings of the vehicle. The displayed content is hidden if the user is not looking toward the environment of the vehicle.