Abstract: Method and devices for processing audio signals based on sound profiles are provided. A sound profile can include data related to haptic movement of the audio data which is specific to a left ear or a right ear, demographic information, ethnicity information, age information, location information, social media information, intensity score of the audio data, previous usage information, or device information. A sound profile can be customized for individual user to include the inaudible frequency range at high frequency end and low frequency end. Audio data within the inaudible frequency range can be compensated by haptic movement corresponding to the inaudible frequency range. A sound profile can further include an audio frequency range and its lowest audible volume for a user. A sound profile can be provided to a user without any action from the user's part.

Abstract: Systems and methods are disclosed for applying neural networks in resource-constrained environments. A system may include a sensor located in a resource-constrained environment configured to generate sensor data of the resource-constrained environment. The system may also include a first computing device not located in the resource-constrained environment configured to produce a neural network structure based on the sensor data. The system may further include a second computing device located in the resource-constrained environment configured to provide the sensor data as input to the neural network structure. The second computing device may be further configured to determine a state of the resource-constrained environment based on the input of the sensor data to the neural network structure.

Abstract: Systems and methods are disclosed for applying neural networks in resource-constrained environments. A system may include a sensor located in a resource-constrained environment configured to generate first sensor data and second sensor data of the resource-constrained environment. The system may also include a first computing device not located in the resource-constrained environment configured to produce a neural network structure based on the first sensor data. The system may also include a second computing device configured to determine a state of the resource-constrained environment based on input of the second sensor data to the neural network structure. The system may also include a controller located in the resource-constrained environment configured to control a device in the resource-constrained environment based on the state of the resource-constrained environment determined by the second computing device.

Abstract: Methods, devices, and systems for expression transfer are disclosed. The disclosure includes capturing a first image of a face of a person. The disclosure includes generating an avatar based on the first image of the face of the person, with the avatar approximating the first image of the face of the person. The disclosure includes transmitting the avatar to a destination device. The disclosure includes capturing a second image of the face of the person on a source device. The disclosure includes calculating expression information based on the second image of the face of the person, with the expression information approximating an expression on the face of the person as captured in the second image. The disclosure includes transmitting the expression information from the source device to the destination device. The disclosure includes animating the avatar on a display component of the destination device using the expression information.

Abstract: Systems and methods are disclosed for applying neural networks in resource-constrained environments. A system may include a sensor located in a resource-constrained environment configured to generate sensor data of the resource-constrained environment. The system may also include a first computing device not located in the resource-constrained environment configured to produce a neural network structure based on the sensor data. The system may further include a second computing device located in the resource-constrained environment configured to provide the sensor data as input to the neural network structure. The second computing device may be further configured to determine a state of the resource-constrained environment based on the input of the sensor data to the neural network structure.

Abstract: Method and devices for optimizing wireless network connections in transportation vehicles are provided. An onboard computing device in a transportation vehicle identifies blackout area with severe wireless signal interference caused by nearby wireless access points in the blackout area. The wireless interference can be remedied by dynamically switching wireless channel for the in-vehicle wireless connection between the onboard computing device and a mobile device in the vehicle. The wireless interference can also be remedied by pre-caching the data needed for a content presentation during a time period when the vehicle travels within the blackout area.

Abstract: Method and devices for creating a sedentary virtual-reality system are provided. A user interface is provided that allows for the intuitive navigation of the sedentary virtual-reality system based on the position of the users head. The sedentary virtual-reality system can render a desktop computing environment. The user can switch the virtual-reality system into an augmented reality viewing mode or a real-world viewing mode that allow the user to control and manipulate the rendered sedentary environment. The modes can also change to allow the user greater situational awareness and a longer duration of use.

Abstract: Systems and methods are disclosed for applying neural networks in resource-constrained environments. A system may include a sensor located in a resource-constrained environment configured to generate sensor data of the resource-constrained environment. The system may also include a first computing device not located in the resource-constrained environment configured to produce a neural network structure based on the sensor data. The system may further include a second computing device located in the resource-constrained environment configured to provide the sensor data as input to the neural network structure. The second computing device may be further configured to determine a state of the resource-constrained environment based on the input of the sensor data to the neural network structure.

Abstract: Method and devices for testing a headphone with increased sensation are provided. The headphone can filter and amplify low frequency audio signals, which are then sent to a haptic device in the headphone. The haptic device can cause bass sensations at the top of the skull and at both ear cups. The testing system can evaluate the haptic and acoustic sensations produced by the headphone to evaluate if they have been properly assembled and calibrate the headphones if necessary.

Abstract: Method and devices for creating a sedentary virtual-reality system are provided. A user interface is provided that allows for the intuitive navigation of the sedentary virtual-reality system based on the position of the users head. The sedentary virtual-reality system can render a desktop computing environment. The user can switch the virtual-reality system into an augmented reality viewing mode or a real-world viewing mode that allow the user to control and manipulate the rendered sedentary environment. The modes can also change to allow the user greater situational awareness and a longer duration of use.

Abstract: Systems and methods are disclosed for applying neural networks in resource-constrained environments. A system may include a sensor located in a resource-constrained environment configured to generate sensor data of the resource-constrained environment. The system may also include a first computing device not located in the resource-constrained environment configured to produce a neural network structure based on the sensor data. The system may further include a second computing device located in the resource-constrained environment configured to provide the sensor data as input to the neural network structure. The second computing device may be further configured to determine a state of the resource-constrained environment based on the input of the sensor data to the neural network structure.

Abstract: Method and devices for optimizing wireless network connections in transportation vehicles are provided. An onboard computing device in a transportation vehicle identifies blackout area with severe wireless signal interference caused by nearby wireless access points in the blackout area. The wireless interference can be remedied by dynamically switching wireless channel for the in-vehicle wireless connection between the onboard computing device and a mobile device in the vehicle. The wireless interference can also be remedied by pre-caching the data needed for a content presentation during a time period when the vehicle travels within the blackout area.

Abstract: Method and devices for testing a headphone with increased sensation are provided. The headphone can filter and amplify low frequency audio signals, which are then sent to a haptic device in the headphone. The haptic device can cause bass sensations at the top of the skull and at both ear cups. The testing system can evaluate the haptic and acoustic sensations produced by the headphone to evaluate if they have been properly assembled and calibrate the headphones if necessary.

Abstract: Method and devices for creating a sedentary virtual-reality system are provided. A user interface is provided that allows for the intuitive navigation of the sedentary virtual-reality system based on the position of the users head. The sedentary virtual-reality system can render a desktop computing environment. The user can switch the virtual-reality system into an augmented reality viewing mode or a real-world viewing mode that allow the user to control and manipulate the rendered sedentary environment. The modes can also change to allow the user greater situational awareness and a longer duration of use.

Abstract: Method and devices for optimizing wireless network connections in transportation vehicles are provided. An onboard computing device in a transportation vehicle identifies blackout area with severe wireless signal interference caused by nearby wireless access points in the blackout area. The wireless interference can be remedied by dynamically switching wireless channel for the in-vehicle wireless connection between the onboard computing device and a mobile device in the vehicle. The wireless interference can also be remedied by pre-caching the data needed for a content presentation during a time period when the vehicle travels within the blackout area.

Abstract: Method and devices for creating a sedentary virtual-reality system are provided. A user interface is provided that allows for the intuitive navigation of the sedentary virtual-reality system based on the position of the users head. The sedentary virtual-reality system can render a desktop computing environment. The user can switch the virtual-reality system into an augmented reality viewing mode or a real-world viewing mode that allow the user to control and manipulate the rendered sedentary environment. The modes can also change to allow the user greater situational awareness and a longer duration of use.

Abstract: Method and devices for testing a headphone with increased sensation are provided. The headphone can filter and amplify low frequency audio signals, which are then sent to a haptic device in the headphone. The haptic device can cause bass sensations at the top of the skull and at both ear cups. The testing system can evaluate the haptic and acoustic sensations produced by the headphone to evaluate if they have been properly assembled and calibrate the headphones if necessary.

Abstract: Method and devices for processing audio signals based on sound profiles are provided. A reproduction device can request a sound profile based on user information, device information, media metadata or a combination. The sound profiles can be customized and shared across multiple devices. User interfaces allow for the input of information that allows the reproduction device or a server in the cloud to select, modify, store, and analyze sound profiles. Deeper analysis allows for the improvement of sound profiles for individuals and groups. Intensity scoring of a music library can also be conducted.

Abstract: Method and devices for processing audio signals based on intensity of an audio file are provided. A user interface is provided that allows for the intuitive navigation of audio files based on their intensity. A screen of the user interface is displayed, containing a plurality of selection regions. One or more selection regions display a selection option in the selection region to select a group of audio files associated with a similar intensity score. An intensity score of an audio file can be manually changed or assigned by a microprocessor.

Abstract: Method and devices for processing signals based on sound and haptic profiles are provided. A reproduction device can request a sound profile or haptic profile based on user information, device information, media metadata or a combination. The sound or haptic profiles can be customized and shared across multiple devices. User interfaces allow for the input of information that allows the reproduction device or a server in the cloud to select, modify, store, and analyze sound profiles. Deeper analysis allows for the improvement of sound and haptic profiles for individuals and groups. Intensity scoring of a music library can also be conducted.