Abstract: Apparatus, method and computer readable medium associated with autonomous/semi-autonomous driving are disclosed herein. In embodiments, an apparatus for autonomous/semi-autonomous driving may comprise a management system to be disposed in an autonomous/semi-autonomous vehicle. The management system may include a reservation subsystem to receive, from a cloud server, a reservation of the autonomous or semi-autonomous vehicle for a passenger or a driver, and an access control subsystem to control access to the autonomous or semi-autonomous vehicle that includes a trust function to gain trust of the passenger or driver with respect to the passenger or driver's data privacy requirements will be met, when the passenger or driver attempts to exercise the reservation. Other embodiments may be disclosed or claimed.

Abstract: A vehicle relocator may include one or more processors, which are configured to receive first sensor data representing a current or predicted weather condition; receive second sensor data representing at least position or a vicinity of a vehicle; determine from at least the first sensor data and the second sensor data a risk of damage to the vehicle; and if the determined risk is outside of a target range, send an instruction for the vehicle to travel to an alternate location.

Abstract: The present disclosure relates to a mobile agent in an RFID system with reduced power consumption and increased localization capabilities. In one aspect, a relay circuit attached to a mobility mechanism such as a drone or robot is in communication with an RFID reader and a backend host computer. The mobile agent moves around a warehouse, for instance, in which landmark RFID tags are arranged. The mobile agent can transmit with an adjustable power to identify a single landmark tag and associate it with object tags of one or more objects within the range of the mobile agent. The host computer can communicate with the mobile agent to instruct it to adjust its power when multiple landmark tags are detected.

Abstract: Herein is disclosed a virtual embodiment display system comprising one or more image sensors, configured to receive one or more images of a vehicle occupant; one or more processors, configured to determine a gaze direction of the vehicle occupant from the one or more images; select a display location corresponding to the determined gaze direction; and control an image display device to display a virtual embodiment of an intelligent agent at the display location; the image display device, configured to display the virtual embodiment of the intelligent agent at the selected display location according to the one or more processors.

Abstract: Systems, apparatus, and computer-readable media for managing data storage for vehicle-embedded computer devices (VECDs) are disclosed. Embodiments include a data hierarchy, which classifies data based on the data source, data destination, the intended use of the data or a target application, data processing requirements of the data, and/or delivery time requirements of the data. A VECD may classified obtained data according to the hierarchy and may store the data in different storage devices based on the classification of data. Other embodiments are described and/or claimed.

Abstract: Safety systems for unmanned vehicles are disclosed. An example vehicle includes a housing and a propulsion system supported by the housing. The propulsion system to generate lift. An anti-crash module is coupled to the housing. The anti-crash module has a compressible foam that is to deploy to protect the propulsion system from an impact.

Abstract: Methods and apparatuses for identifying food chewed or beverage drank are disclosed herein. In embodiments, a device may comprise one or more sensors to provide vibration signal data representative of vibrations sensed from a nasal bridge of a user wearing the device, a chewing analyzer to extract from the vibration signal data a first plurality of features associated with chewing activities, and/or a drinking analyzer is to extract from the vibration signal data a second plurality of features associated with drinking activities. The extracted first and/or second plurality of features, in turn, may be used to determine a category of food the user was chewing, or a category of beverage the user was drinking. In embodiments, the methods and apparatuses may use personalized models.

Abstract: Technologies for emotion prediction based on breathing patterns include a wearable device. The wearable device includes a breathing sensor to generate breathing data, one or more processors, and one or more memory devices having stored therein a plurality of instructions that, when executed, cause the wearable device to calibrate a personalized emotion predictive model associated with the user, collect breathing data of the user of the wearable device, analyze the breathing data to determine a breathing pattern, predict, in response to an analysis of the breathing data, the emotional state of the user using the personalized emotion predictive model, and output the emotional state of the user.

Abstract: Techniques are disclosed for performing RFID motion tracking in an intelligent manner that facilitates the generation of accurate and useful metrics for marketing and other applications. The techniques function to reduce problematic false positive rates on RFID tags attached to items to improve the accuracy of the motion presence of a small subset of browsed items among a much larger set of tagged items in the same space. This accurate motion inference enables the calculation of metrics such as customer-item interaction duration, pauses in interactions (potentially indicating close examining), and the extraction of patterns of motion that can indicate interest leading to realized sales, as well as concurrent motion detection of multiple items indicating which related items shall be placed in close proximity to increase sales of matching items.

Abstract: Herein is disclosed a virtual embodiment display system comprising one or more image sensors, configured to receive one or more images of a vehicle occupant; one or more processors, configured to determine a gaze direction of the vehicle occupant from the one or more images; select a display location corresponding to the determined gaze direction; and control an image display device to display a virtual embodiment of an intelligent agent at the display location; the image display device, configured to display the virtual embodiment of the intelligent agent at the selected display location according to the one or more processors.

Abstract: Herein is disclosed a virtual embodiment display system comprising one or more image sensors, configured to receive one or more images of a vehicle occupant; one or more processors, configured to determine a gaze direction of the vehicle occupant from the one or more images; select a display location corresponding to the determined gaze direction; and control an image display device to display a virtual embodiment of an intelligent agent at the display location; the image display device, configured to display the virtual embodiment of the intelligent agent at the selected display location according to the one or more processors.

Abstract: Systems, apparatus, and computer-readable media for managing data storage for vehicle-embedded computer devices (VECDs) are disclosed. Embodiments include a data hierarchy, which classifies data based on the data source, data destination, the intended use of the data or a target application, data processing requirements of the data, and/or delivery time requirements of the data. A VECD may classified obtained data according to the hierarchy and may store the data in different storage devices based on the classification of data. Other embodiments are described and/or claimed.

Abstract: Apparatus, method and computer readable medium associated with autonomous/semi-autonomous driving are disclosed herein. In embodiments, an apparatus for autonomous/semi-autonomous driving may comprise a management system to be disposed in an autonomous/semi-autonomous vehicle. The management system may include a reservation subsystem to receive, from a cloud server, a reservation of the autonomous or semi-autonomous vehicle for a passenger or a driver, and an access control subsystem to control access to the autonomous or semi-autonomous vehicle that includes a trust function to gain trust of the passenger or driver with respect to the passenger or driver's data privacy requirements will be met, when the passenger or driver attempts to exercise the reservation. Other embodiments may be disclosed or claimed.

Abstract: A vehicle relocator may include one or more processors, which are configured to receive first sensor data representing a current or predicted weather condition; receive second sensor data representing at least position or a vicinity of a vehicle; determine from at least the first sensor data and the second sensor data a risk of damage to the vehicle; and if the determined risk is outside of a target range, send an instruction for the vehicle to travel to an alternate location.

Abstract: Technologies for a fabric acoustic sensor are disclosed. The fabric acoustic sensor includes a conductive thread and a non-conductive thread, which form a diaphragm that vibrates in response to a sound wave. As a result of the vibration, the conductive thread stretches, and a resistance of the conductive thread varies. The change in resistance is measured by a compute device, and the compute device may determine the sound wave based on the change in resistance. In some embodiments, the fabric acoustic sensor may be used to monitor a heart rate, locate an object, and/or provide an input for noise cancellation.

Abstract: Apparatus, systems, and/or methods may provide a mental state determination. For example, a data collector may collect image data for a side of a face of a user from an image capture device on the user (e.g., a wearable device). The image data may include two or more perspectives of a feature on the side of the face of the user. In addition, a state determiner may determine a mental state of the user based on the image data. In one example, fields of view may be combined to determine a total region and/or a total overlap region. Changing the position that one or more image capture devices point may modulate the total region and/or the total overlap region. In addition, one or more sensors may be utilized to further improve mental data determinations.

Abstract: Herein is disclosed a virtual embodiment display system comprising one or more image sensors, configured to receive one or more images of a vehicle occupant; one or more processors, configured to determine a gaze direction of the vehicle occupant from the one or more images; select a display location corresponding to the determined gaze direction; and control an image display device to display a virtual embodiment of an intelligent agent at the display location; the image display device, configured to display the virtual embodiment of the intelligent agent at the selected display location according to the one or more processors.

Abstract: Methods and apparatus for identifying breathing patterns are disclosed herein. An example wearable device includes a sensor positioned to generate vibration signal data from a nasal bridge of a user, a breathing phase detector to identify a first and second breathing phases based on the vibration signal data, a phase timing calculator to calculate a first time period for the first breathing phase and a second time period for the second breathing phase, a breathing pattern detector to generate a breathing pattern metric based on the first and second time periods, a breathing activity detector to identify a breathing activity associated with the vibration signal data based on the breathing pattern metric, and an alert generator to activate an output device to generate at least one of an audible, tactile, or visual alert based on at least one of the breathing activity and a change associated with the breathing activity.

Abstract: Technologies for emotion prediction based on breathing patterns include a wearable device. The wearable device includes a breathing sensor to generate breathing data, one or more processors, and one or more memory devices having stored therein a plurality of instructions that, when executed, cause the wearable device to calibrate a personalized emotion predictive model associated with the user, collect breathing data of the user of the wearable device, analyze the breathing data to determine a breathing pattern, predict, in response to an analysis of the breathing data, the emotional state of the user using the personalized emotion predictive model, and output the emotional state of the user.

Abstract: Safety systems for unmanned vehicles are disclosed. An example vehicle includes a housing and a propulsion system supported by the housing. The propulsion system to generate lift. An anti-crash module is coupled to the housing. The anti-crash module has a compressible foam that is to deploy to protect the propulsion system from an impact.