Abstract: An agent device for assisting one or more users is provided. The agent device supports a first operation mode in which the agent device is configured to identify individual users. Further, the agent device supports a second operation mode in which the agent device is configured to not identify individual users. The agent device includes a receiver circuit configured to receive, from an external device, a signal indicating that a person in the vicinity of the agent device does not want to be identified. Additionally, the agent device includes a control circuit configured to set an operation mode of the agent device to the second operation mode in response to receiving the signal.

Abstract: A method of providing information about a device is proposed. According to the method, user-specific information of a first user is provided to the device. The user-specific information is related to a user experience of the device used by the first user. The user-specific information is stored in a non-volatile memory of the device. Upon a request of a second user, device-specific information based on the stored user-specific feedback information from the non-volatile memory of the device is outputted to the second user. A device with an electrical circuit, non-volatile memory, and an output circuit is proposed.

Abstract: A denoising apparatus, including a Micro-Electro-Mechanical System, MEMS, sensor circuit, which is configured to generate a measurement signal in response to a physical quantity. The measurement signal includes a useful signal component indicative of the physical quantity and an attack signal component due to an attack on the MEMS sensor circuit. The denoising apparatus further includes a machine learning circuitry, which is configured to estimate the useful signal component based on the measurement signal. The machine learning circuitry is trained based on training signals comprising known useful signal components and known attack signal components.

Abstract: An agent device for assisting one or more users is provided. The agent device supports a first operation mode in which the agent device is configured to identify individual users. Further, the agent device supports a second operation mode in which the agent device is configured to not identify individual users. The agent device includes a receiver circuit configured to receive, from an external device, a signal indicating that a person in the vicinity of the agent device does not want to be identified. Additionally, the agent device includes a control circuit configured to set an operation mode of the agent device to the second operation mode in response to receiving the signal.

Abstract: An electronic device includes a tracking unit that tracks a movement of a first mobile device and a movement of a second mobile device, based on a position of the first mobile device and a position of the second mobile device received from a position estimation unit; a determination unit that determines a probability distribution of a distance between the first mobile device and the second mobile device, based on a probabilistic model, and the position of the first mobile device and the position of the second mobile device; and an action unit that performs action, based on the determined probability distribution of the distance.

Abstract: A method of providing information about a device is proposed. According to the method, user-specific information of a first user is provided to the device. The user-specific information is related to a user experience of the device used by the first user. The user-specific information is stored in a non-volatile memory of the device. Upon a request of a second user, device-specific information based on the stored user-specific feedback information from the non-volatile memory of the device is outputted to the second user. A device with an electrical circuit, non-volatile memory, and an output circuit is proposed.

Abstract: An electronic device includes a tracking unit that tracks a movement of a first mobile device and a movement of a second mobile device, based on a position of the first mobile device and a position of the second mobile device received from a position estimation unit; a determination unit that determines a probability distribution of a distance between the first mobile device and the second mobile device, based on a probabilistic model, and the position of the first mobile device and the position of the second mobile device; and an action unit that performs action, based on the determined probability distribution of the distance.

Abstract: It is described an apparatus for determining trends in picture taking activity. The apparatus comprises a meta information accessing unit for accessing a set of meta information, each meta information in the set of meta information being associated with a picture having been taken with a camera device at a respective geographic location and at a respective time. The apparatus further comprises a processing unit for determining trends in picture taking activity based on the set of meta information accessible by the meta information accessing unit.

Abstract: It is described a method determining context information of at least one media file stored in a media storage, and matching reference context information with the context information to determine at least one context-matching media file.

Abstract: It is described an apparatus for determining trends in picture taking activity. The apparatus comprises a meta information accessing unit for accessing a set of meta information, each meta information in the set of meta information being associated with a picture having been taken with a camera device at a respective geographic location and at a respective time. The apparatus further comprises a processing unit for determining trends in picture taking activity based on the set of meta information accessible by the meta information accessing unit.