Patent classifications
G06V10/143
NATURAL HUMAN-COMPUTER INTERACTION FOR VIRTUAL PERSONAL ASSISTANT SYSTEMS
Technologies for natural language interactions with virtual personal assistant systems include a computing device configured to capture audio input, distort the audio input to produce a number of distorted audio variations, and perform speech recognition on the audio input and the distorted audio variants. The computing device selects a result from a large number of potential speech recognition results based on contextual information. The computing device may measure a user's engagement level by using an eye tracking sensor to determine whether the user is visually focused on an avatar rendered by the virtual personal assistant. The avatar may be rendered in a disengaged state, a ready state, or an engaged state based on the user engagement level. The avatar may be rendered as semitransparent in the disengaged state, and the transparency may be reduced in the ready state or the engaged state. Other embodiments are described and claimed.
NATURAL HUMAN-COMPUTER INTERACTION FOR VIRTUAL PERSONAL ASSISTANT SYSTEMS
Technologies for natural language interactions with virtual personal assistant systems include a computing device configured to capture audio input, distort the audio input to produce a number of distorted audio variations, and perform speech recognition on the audio input and the distorted audio variants. The computing device selects a result from a large number of potential speech recognition results based on contextual information. The computing device may measure a user's engagement level by using an eye tracking sensor to determine whether the user is visually focused on an avatar rendered by the virtual personal assistant. The avatar may be rendered in a disengaged state, a ready state, or an engaged state based on the user engagement level. The avatar may be rendered as semitransparent in the disengaged state, and the transparency may be reduced in the ready state or the engaged state. Other embodiments are described and claimed.
BIOMETRIC OPTICAL ANTISPOOFING BASED ON IMAGING THROUGH A TRANSMISSION ANGULAR DEPENDENT OPTICAL FILTER
A biometric imaging arrangement configured to acquire an image of an object comprising: an image sensor comprising a photodetector pixel array configured to detect light transmitted from the object for capturing an image, an optical filter assembly comprising at least an optical interference filter, the optical filter assembly being arranged to cover the photodetector pixel array, and the optical filter assembly having an infrared cut-off wavelength to at least partly block infrared light from reaching the photodetector pixel array, the optical filter assembly further having at least a first cut-off wavelength in the visible range of wavelengths, wherein the first cut-off wavelength depends on the angle of incidence of the received light on the optical filter assembly.
BIOMETRIC OPTICAL ANTISPOOFING BASED ON IMAGING THROUGH A TRANSMISSION ANGULAR DEPENDENT OPTICAL FILTER
A biometric imaging arrangement configured to acquire an image of an object comprising: an image sensor comprising a photodetector pixel array configured to detect light transmitted from the object for capturing an image, an optical filter assembly comprising at least an optical interference filter, the optical filter assembly being arranged to cover the photodetector pixel array, and the optical filter assembly having an infrared cut-off wavelength to at least partly block infrared light from reaching the photodetector pixel array, the optical filter assembly further having at least a first cut-off wavelength in the visible range of wavelengths, wherein the first cut-off wavelength depends on the angle of incidence of the received light on the optical filter assembly.
Visible light sensor embedded organic light emitting diode display panels and display devices including the same
An OLED display panel may include a substrate, an OLED light emitter on the substrate and configured to emit light, and a visible light sensor on the substrate and configured to detect at least a portion of the emitted light based on reflection of the portion of the emitted light from a recognition target. The visible light sensor is in a non-light emitting region adjacent to the OLED light emitter so as to be horizontally aligned with the OLED light emitter in a horizontal direction extending parallel to an upper surface of the substrate, or between the substrate and a non-light emitting region adjacent to the OLED light emitter such that the visible light sensor is vertically aligned with the non-light emitting region in a vertical direction extending perpendicular to the upper surface of the substrate.
Visible light sensor embedded organic light emitting diode display panels and display devices including the same
An OLED display panel may include a substrate, an OLED light emitter on the substrate and configured to emit light, and a visible light sensor on the substrate and configured to detect at least a portion of the emitted light based on reflection of the portion of the emitted light from a recognition target. The visible light sensor is in a non-light emitting region adjacent to the OLED light emitter so as to be horizontally aligned with the OLED light emitter in a horizontal direction extending parallel to an upper surface of the substrate, or between the substrate and a non-light emitting region adjacent to the OLED light emitter such that the visible light sensor is vertically aligned with the non-light emitting region in a vertical direction extending perpendicular to the upper surface of the substrate.
Animal identification using vision techniques
A vision system for determining an identity of an individual animal in a population of animals with known identity is provided. A first image sensor arrangement is configured to capture three-dimensional or thermographic images of the individual animal. A second image sensor arrangement is configured to capture two-dimensional images of the individual animal. Control circuitry is configured to obtain a first image of the individual animal captured by the first image sensor arrangement and to detect a body part in the first image, and in response to detecting the body part, obtain a second image of the individual animal captured using the second image sensor arrangement, and to identify the individual animal by comparing metrics of the second image with the reference data in a data storage.
Animal identification using vision techniques
A vision system for determining an identity of an individual animal in a population of animals with known identity is provided. A first image sensor arrangement is configured to capture three-dimensional or thermographic images of the individual animal. A second image sensor arrangement is configured to capture two-dimensional images of the individual animal. Control circuitry is configured to obtain a first image of the individual animal captured by the first image sensor arrangement and to detect a body part in the first image, and in response to detecting the body part, obtain a second image of the individual animal captured using the second image sensor arrangement, and to identify the individual animal by comparing metrics of the second image with the reference data in a data storage.
Skin tone correction for body temperature estimation
A method for estimating human body temperature includes receiving, via a thermal camera, a thermal image captured of a real-world environment, the thermal image including thermal intensity values for each of a plurality of pixels of the thermal image. A position of a first human face is identified within the thermal image, the first human face corresponding to a first human subject. A skin tone of the first human face is identified. Based on the identified skin tone, a skin tone correction factor is applied to one or more thermal intensity values of one or more pixels corresponding to the first human face to give one or more tone-corrected thermal intensity values. Based on the one or more tone-corrected thermal intensity values an indication of a body temperature of the first human subject is reported.
Skin tone correction for body temperature estimation
A method for estimating human body temperature includes receiving, via a thermal camera, a thermal image captured of a real-world environment, the thermal image including thermal intensity values for each of a plurality of pixels of the thermal image. A position of a first human face is identified within the thermal image, the first human face corresponding to a first human subject. A skin tone of the first human face is identified. Based on the identified skin tone, a skin tone correction factor is applied to one or more thermal intensity values of one or more pixels corresponding to the first human face to give one or more tone-corrected thermal intensity values. Based on the one or more tone-corrected thermal intensity values an indication of a body temperature of the first human subject is reported.