Abstract: Methods and systems for determining an emotion of a human driver of a vehicle and using the emotion for generating a vehicle response, is provided. One example method includes capturing, by a camera of the vehicle, a face of the human driver. The capturing is configured to capture a plurality of images over a period of time, and the plurality of images are analyzed to identify a facial expression and changes in the facial expression of the human driver over the period of time. The method further includes capturing, by a microphone of the vehicle, voice input of the human driver. The voice input is captured over the period of time. The voice input is analyzed to identify a voice profile and changes in the voice profile of the human driver over the period of time. The method processes, by a processor of the vehicle, a combination of the facial expression and the voice profile captured during the period of time to predict the emotion of the human driver.

Abstract: Methods and systems for communicating with a server of a cloud system used to interface with vehicles are provided. One method includes receiving, by the server, a request from electronics of a vehicle to automatically access a profile for a user account. The request includes biometric data captured of a user for use of a vehicle. Processing, by the server, at least part of the biometric data to verify the user against the profile. The profile having a plurality of settings of the user for the vehicle, and at least part of the settings for the profile are stored on storage accessible to the cloud services system. Transferring, by the server, upon verification of the user using at least part of the biometrics, one or more settings of the plurality of settings to the vehicle. The transferring is configured to automatically instruct said electronics of the vehicle to apply said one or more settings to the vehicle for customizing said one or more settings on the vehicle while the user is verified.

Abstract: Methods and systems for inter-user communication that can provide data transmission management for more efficient communications are disclosed. The methods and systems can provide enhanced electronic communications, such as via electronic mail or text messaging. Improved communication tools can be provided to better management and/or control communications. The enhanced communication tools can be implemented by electronic devices, namely, computing devices, including portable or handheld electronic devices.

Abstract: A robot for charging a vehicle is provided. The robot has wheels or configured for a track for the robot to automatically move to the vehicle to provide charge to a battery of the vehicle. A charge storage is associated with the robot. An articulating arm of the robot. The articulating arm is configured for movement that enables the articulating arm to automatically connect to a connector of the vehicle after the robot moves in position beside the vehicle for providing charge to the battery of the vehicle.

Abstract: A method for providing real-time recommendations to user in a shopping environment involves sampling a shopping environment using video cameras to generate video features related to a shopper in connection to an item, the sampling input to a machine learning model to create labels related to a state of a scenario, the scenario including the shopper handling the item. Supplemental information is provided to the shopper in connection with the item. The makeup of the supplemental information may be sourced from online service or device associated with the shopper. The supplemental information may be delivered to the shopper, or to a shopper-aware display in the store, or elsewhere. A processing entity associated with the store detects a scenario to identify the shopper as having finished shopping, and causing a charge of the item to a cashierless shopping cart associated with the shopper.

Abstract: Methods and systems related to tracking activity in a store in association with a cashier-less environment are provided. One example method includes identifying actions in a store. The method includes sampling a shopping environment using one or more sensors that include at least one camera capable of providing depth sensing to produce image data of a scene that shows a shopper in the store and tracking data related to one or more limbs of the shopper in connection to an item. The method includes receiving output of the sampling as feature inputs to one or more machine learning models and deriving one or more label inferences of a behavior state of the shopper in connection with a state of the item. At least one processing entity associated with the store detects the state of the item to change from one as item handled by said shopper to one as item queued for purchase.

Abstract: Method and systems are provided for processing actions in a store. One example method includes capturing sensor output from two or more sensors in a shopping environment. One sensor includes a first camera to capture scene data where the scene includes movement of a shopper in the store performing interaction with an item in the store. Another sensor includes a second camera capturing at least part of the scene from a different perspective. The method includes processing, by a processing entity associated with the store, at least one of the camera's output to generate feature data. The feature data is processed by one or more machine learning models to produce engineered feature data. The engineered feature data includes data relating to tracking skeletal movement of shopper.

Abstract: Methods and systems are provided. One method includes processing communication with a vehicle and connected objects. The processing is by one or more servers of a cloud system where said vehicle is associated for receiving services. The connected objects include objects having communication capabilities that are either fixed at specific locations as infrastructure where the vehicle is traversing or is moving in location in areas proximate to where the vehicle is traversing. The method includes receiving by a server of the cloud system, geo-location for the vehicle using on-board electronics of the vehicle and data obtained from a global positioning system. Determining a heading direction of the vehicle based on detected changes in the geo-locations of the vehicle. Receiving state data from connected objects, and selecting one or more of the connected objects based on a current geo-location of the vehicle and the heading direction of the vehicle.

Abstract: A wireless coded communication (WCC) device is provided. The WCC device includes a user manipulated control, and a power storage cell coupled to the user manipulated control. A wireless chip coupled to a memory and the control is provided. The wireless chip configured for harvesting RF energy of an emission source that is broadcast on a first frequency, decoding commands in the RF emission source, reading the state of the control and controllably synthesizing a packet on a second frequency representing a payload. The user manipulation of the control assists in a transformation of mechanical movement to produce additional energy which is harvested to fuel additional operations of the WCC device.

Abstract: Systems and methods of a vehicle for sharing vehicle controls are provided. One example method includes sharing vehicle system control of a vehicle with a passenger. The vehicle has an on-board computer and communications circuitry integrated with the on-board computer. The communications circuitry is configured to interface with a wireless network for accessing the Internet. The on-board computer is configured to enable the communications circuitry to provide a wireless connection to portable devices that enter and pair with the vehicle. The on-board computer is interfaced with one or more vehicle systems. The method includes providing a portable device access to at least one graphical user interface via the wireless connection. The graphical user interface includes input options that enable control of settings or functions of one or more of said vehicle systems.

Abstract: Devices, systems, and method are provided for operating a store. One method includes sampling a shopping environment using one or more sensors to produce features relating to a state of activity of the store. The method further includes processing output of at least one sensor through a feature extractor to extract one or more additional features relating to the state of activity of the retail store. Then, processing at least part of the produced features and at least part of the extracted additional features using a processing entity associated with the store and a machine learning model to generate one or more labels relating to the state of activity of the retail store. In further embodiments, items in the store are physically taken into possession and automatically added to a user's electronic shopping cart to enable processing of a cashier-less transaction.

Abstract: A vehicle configured to communicate with a server of a cloud system to enable access to use the vehicle via one or more electronic keys is provided. The vehicle includes electronics and a subsystem of the vehicle for enabling unlocking of the vehicle. The subsystem is interfaced with the electronics and a subsystem of the vehicle for enabling starting of the vehicle for use of the vehicle. The vehicle further includes communications circuitry that is interfaced with electronics of the vehicle. The communications circuitry is programmable to communicate with the server of the cloud system and communicate with a mobile device. The communications circuitry of the vehicle is configured to receive a request from the mobile device for unlocking of the vehicle. The request from the mobile device includes a unique access code obtained by the mobile device from the server to enable sending the request to the vehicle. The unique access code is associated with privileges for use of the vehicle.

Abstract: A cloud system that includes one or more servers for communicating with vehicles and processing information received from vehicles and processing information sent to vehicles is disclosed. One method includes receiving data from a computing device associated with a vehicle. The data is for a user account, and the data is received over one or more sessions. The user account has a user profile with a plurality of settings and metadata captured from use of the vehicle. Processing, by a learning engine, the metadata captured from use of the vehicle during the one or more sessions of use of the vehicle to identify learned patterns sensed from the vehicle. Sending a recommendation to the user account associated with the vehicle. The recommendation is based in part on the learned patterns from the vehicle. The recommendation is configured to identify a setting or action for the vehicle.

Abstract: Methods and systems for determining a mood of a human driver of a vehicle and using the mood for generating a vehicle response, is provided. One example method includes capturing, by a camera of the vehicle, a face of the human driver. The capturing is configured to capture a plurality of images over a period of time, and the plurality of images are analyzed to identify a facial expression and changes in the facial expression of the human driver over the period of time. The method further includes capturing, by a microphone of the vehicle, voice input of the human driver. The voice input is captured over the period of time. The voice input is analyzed to identify a voice profile and changes in the voice profile of the human driver over the period of time. The method processes, by a processor of the vehicle, a combination of the facial expression and the voice profile captured during the period of time to predict the mood of the human driver.

Abstract: A method is provided, which includes receiving, at a server, a request from a device to find one or more charge units for charging an electric vehicle at a geographic location. The method includes accessing, by the server, a first database to identify charge units that are associated with the geographic location. The method includes accessing, by the server, a second database to identify discounts available at the charge units identified to be associated with the geographic location. One of the identified discounts on one of the charge units is provided by a first merchant having a business location proximate to the one of the charge units. The method includes sending, by the server, data to the device that identifies one or more of the charge units that are associated with the geographic location, the data further including information regarding one or more discounts identified to be available at one or more of the identified charge units.

Abstract: A computer implemented method for managing charge availability of a charge unit (CU) to obtain charge for a battery of an electric vehicle (EV) is provided. The CU includes a computer for processing at least part of the method and for communicating with a server over a network. The method includes receiving, by the server, status information from the computer of the CU. The method includes sending to the computer of the CU instructions to make a reservation for the CU. The reservation is for a user account that has requested a desire to charge the battery of the electric vehicle of the user at the CU or another CU. The method includes sending, by the server, a confirmation for the reservation to the user account. The confirmation is viewable via a device having access to the server via the user account. The method includes sending, by the server, a data regarding a time of availability of the CU to the user account for the reservation.

Abstract: Devices, systems, and method are provided for identifying actions in a retail store. One method includes sampling a shopping environment using one or more sensors. The method includes receiving output of the sampling as feature inputs to a machine learning classifier model to derive one or more labels characterizing a state of an item. At least one processing entity associated with the retail store detects the state of the item to change from one as item taken to one as item returned, and sensor data from said one or more sensors characterizing the item as having been returned to a wrong location in the retail store. In further embodiments, items taken are added to a user's electronic shopping cart to enable processing of a cashier-less transaction.

Abstract: Methods and devices are provided. One device includes persistent memory, a microcontroller and a power source configured to generate power in response to ambient energy received at a first frequency during a cycle of energy harvesting. The power is transferred to a power storage cell such that when the power storage cell has an amount of power the microcontroller performs processing. The microcontroller selects and runs code routines based on the power available and stores associated state data into the persistent memory. During one or more additional cycles of energy harvesting, the device uses the generated power to retrieve state data from persistent memory and continue processing. The processing is related to assembling a payload and to process a wireless transmission of a payload over a second frequency.

Abstract: Methods and devices are provided. One device includes an antenna, a microcontroller, and a power source. The power source configured to generate power in response to ambient energy received at a first frequency during a cycle of energy harvesting using the antenna. The power is transferred to a power storage cell such that when the power storage cell has an amount of power the microcontroller of the device processes at least a part of a processing task to be sent to an end node, and a result of processing of said at least said part of the processing task is stored. During one or more additional cycles of energy harvesting, using generated power to process one or more additional parts of the processing task to assemble a payload or process a wireless transmission of the payload. The wireless transmission of the payload is sent over a second frequency to the end node.

Abstract: Methods and systems for determining an emotion of a human driver of a vehicle and using the emotion for generating a vehicle response, is provided. One example method includes capturing, by a camera of the vehicle, a face of the human driver. The capturing is configured to capture a plurality of images over a period of time, and the plurality of images are analyzed to identify a facial expression and changes in the facial expression of the human driver over the period of time. The method further includes capturing, by a microphone of the vehicle, voice input of the human driver. The voice input is captured over the period of time. The voice input is analyzed to identify a voice profile and changes in the voice profile of the human driver over the period of time. The method processes, by a processor of the vehicle, a combination of the facial expression and the voice profile captured during the period of time to predict the emotion of the human driver.