Abstract: A computer-implemented method is provided for determining a navigation route between a start point and a target point. The method includes setting the start and target points, and then generating a road map with a road graph having plural edges between the star and target points representing traversable route portions. The generated road map also has nodes that interconnect the adjacent edges. The road map is generated from geospatial data retrievably stored in a database. The method proceeds by generating an emotion map layer by a machine learning model that is trained to predict, based on static and/or dynamic contextual input data for each of the edges, the likely emotions of a driver as they traverse the relevant edge and generate emotion weightings in the emotion map layer. The method then calculates the navigation route by the emotion map layer with the emotion weightings obtained in the previous step.

Abstract: A computer-implemented method for determining an emotional state of a person in a motor vehicle. The method includes the following steps: recording (S1) environmental data using environmental sensors of the motor vehicle, the environmental data relating to an environment of the motor vehicle; recognizing (S2) various objects using the environmental data; assigning (S3) the objects to various classes; determining (S4), respectively, a number of the objects assigned to the respective classes; and determining (S5) the emotional state using the numbers and the classes.

Abstract: A method of detecting presence and location uses sensor data received from a plurality of thermopiles, each thermopile having a different field of view. In response to detecting a change in the sensor data, stored background values for each field of view are accessed and then the location of a body (e.g. a human or animal)is determined based on differences between the sensor data and sensor values predicted using a forward model and the stored background values for each field of view. Having determined the location, the stored background values are updated based on differences between the sensor data and the predicted sensor values for a body at the determined location.

Abstract: A system for a motor vehicle includes a sensor apparatus having a sensor for determining motor vehicle data and/or driving data of the motor vehicle, and an evaluation unit. The evaluation unit includes an emotion determination unit configured to assess the emotions of the driver of the motor vehicle on the basis of sensor signals transmitted by the sensor.

Abstract: A navigation method includes selecting a route from a multiplicity of routes, which connect a departure point for a navigation to a destination for the navigation. The route includes at least one route segment. The at least one route segment for the route is selected from a multiplicity of road sections. The road sections are each assigned at least one property, which characterizes a driving experience. A metric is evaluated in accordance with the at least one property of a respective road section of the road sections. The route whose road sections maximize the metric as route segments for the route is selected.

Abstract: A navigation method includes selecting a route from a multiplicity of routes, which connect a departure point for a navigation to a destination for the navigation. The route includes at least one route segment. The at least one route segment for the route is selected from a multiplicity of road sections. The road sections are each assigned at least one property, which characterizes a driving experience. A metric is evaluated in accordance with the at least one property of a respective road section of the road sections. The route whose road sections maximize the metric as route segments for the route is selected.

Abstract: A method of detecting presence and location uses sensor data received from a plurality of thermopiles, each thermopile having a different field of view. In response to detecting a change in the sensor data, stored background values for each field of view are accessed and then the location of a body (e.g. a human or animal)is determined based on differences between the sensor data and sensor values predicted using a forward model and the stored background values for each field of view. Having determined the location, the stored background values are updated based on differences between the sensor data and the predicted sensor values for a body at the determined location.

Abstract: A system is described which comprises an electronic display device, an annotation capture module and a camera. The annotation capture module is configured to trigger a change in an image displayed on the electronic display device responsive to a capture trigger and the camera is configured to capture one or more images of the electronic display device in response to the capture trigger and/or a trigger received from the annotation capture module. The annotation capture module is further arranged to identify any manual annotations made by a user on the electronic display device by analyzing the images of the electronic display device captured by the camera, wherein at least one of the images was captured after the change in the image displayed.

Abstract: A display comprises a plurality of autonomous pixels on a stretchable substrate. Each autonomous pixel comprises a display element and a control element arranged to sense an external stimulus and to generate, entirely within the autonomous pixel, a control signal to drive the display element based, at least in part, on a magnitude of the sensed external stimulus. The stretchable substrate comprises a plurality of less elastic regions separated by stretchable areas, where the less elastic regions are less stretchable than the surrounding stretchable areas and each control element of an autonomous pixel is located in or on a less elastic region of the stretchable substrate.

Abstract: A method of detecting presence and location uses sensor data received from a plurality of thermopiles, each thermopile having a different field of view. In response to detecting a change in the sensor data, stored background values for each field of view are accessed and then the location of a body (e.g. a human or animal) is determined based on differences between the sensor data and sensor values predicted using a forward model and the stored background values for each field of view. Having determined the location, the stored background values are updated based on differences between the sensor data and the predicted sensor values for a body at the determined location.

Abstract: A display device which includes an electronic paper display additionally comprises power harvesting hardware and display update hardware which is configured to control the updating of the electronic paper display based on a sensed power harvesting level which may, in various embodiments, be a current incoming power level as generated by the power harvesting hardware or a stored power level in a power storage device within the display device.

Abstract: An autonomous pixel comprises a display element, a plurality of different sensors and a control element. The sensors are arranged to detect one or more external stimuli and the control element is arranged to generate, entirely within the autonomous pixel, a control signal to drive the display element based, at least in part, on a magnitude of an external stimulus detected by one or more of the different sensors.

Abstract: A display comprises a plurality of autonomous pixels on a substrate. Each autonomous pixel comprises a display element, a sensing element and a control element. The sensing element is arranged to detect an external stimulus and the control element is arranged to generate, entirely within the autonomous pixel, a control signal to drive the display element based, at least in part, on a magnitude of the external stimulus detected by the sensing element. Additionally, the control element comprises one or more groups of transistors, each group comprising two or more transistors arranged to perform the same function and connected in parallel with each other.

Abstract: A method of detecting presence and location uses sensor data received from a plurality of thermopiles, each thermopile having a different field of view. In response to detecting a change in the sensor data, stored background values for each field of view are accessed and then the location of a body (e.g. a human or animal) is determined based on differences between the sensor data and sensor values predicted using a forward model and the stored background values for each field of view. Having determined the location, the stored background values are updated based on differences between the sensor data and the predicted sensor values for a body at the determined location.

Abstract: A method of operating an emissive display is described in which an ambient light level is detected using a light sensor. If the detected ambient light level is in a predefined region, the method comprises setting a backlight level to a minimum level, generating a correction factor based on the detected ambient light level and modifying color values of content to be displayed using the correction factor.

Abstract: A display comprises a plurality of autonomous pixels on a stretchable substrate. Each autonomous pixel comprises a display element and a control element arranged to sense an external stimulus and to generate, entirely within the autonomous pixel, a control signal to drive the display element based, at least in part, on a magnitude of the sensed external stimulus. The stretchable substrate comprises a plurality of less elastic regions separated by stretchable areas, where the less elastic regions are less stretchable than the surrounding stretchable areas and each control element of an autonomous pixel is located in or on a less elastic region of the stretchable substrate.

Abstract: A system is described which comprises an electronic display device, an annotation capture module and a camera. The annotation capture module is configured to trigger a change in an image displayed on the electronic display device responsive to a capture trigger and the camera is configured to capture one or more images of the electronic display device in response to the capture trigger and/or a trigger received from the annotation capture module. The annotation capture module is further arranged to identify any manual annotations made by a user on the electronic display device by analyzing the images of the electronic display device captured by the camera, wherein at least one of the images was captured after the change in the image displayed.

Abstract: A display comprises a plurality of autonomous pixels on a stretchable substrate. Each autonomous pixel comprises a display element and a control element arranged to sense an external stimulus and to generate, entirely within the autonomous pixel, a control signal to drive the display element based, at least in part, on a magnitude of the sensed external stimulus. The stretchable substrate comprises a plurality of less elastic regions separated by stretchable areas, where the less elastic regions are less stretchable than the surrounding stretchable areas and each control element of an autonomous pixel is located in or on a less elastic region of the stretchable substrate.

Abstract: An autonomous pixel comprises a display element, a plurality of different sensors and a control element. The sensors are arranged to detect one or more external stimuli and the control element is arranged to generate, entirely within the autonomous pixel, a control signal to drive the display element based, at least in part, on a magnitude of an external stimulus detected by one or more of the different sensors.

Abstract: A display comprises a plurality of autonomous pixels on a stretchable substrate. Each autonomous pixel comprises a display element and a control element arranged to sense an external stimulus and to generate, entirely within the autonomous pixel, a control signal to drive the display element based, at least in part, on a magnitude of the sensed external stimulus. The stretchable substrate comprises a plurality of less elastic regions separated by stretchable areas, where the less elastic regions are less stretchable than the surrounding stretchable areas and each control element of an autonomous pixel is located in or on a less elastic region of the stretchable substrate.