824 results about "Mobile computing" patented technology

A system for remotely monitoring and managing health statuses of a plurality of users includes software instructions storable on a memory device usable by a computing device, the software instructions causing a hardware processor of the computing device to receive a plurality of sets of health-related information from a plurality of mobile computing devices of a plurality of users. The health-related information includes physiological information derived from wearable devices of the users indicative of an onset of symptoms associated with an infection, contact tracing data, and diagnosis data. The hardware processor determines exposure levels based on at least the contact tracing data, and determines user-specific risk states based on physiological information, diagnosis data, and exposure levels.

A mobile computing device includes a user input device and a controller. The user input device includes a display, and the controller is operably connected to the user input device and configured to execute instructions to perform operations. The operations include presenting on the display, information about one or more areas that were not cleaned by an autonomous cleaning robot during a first mission. The operations further include transmitting data corresponding to a user-selected subset of the one or more areas to cause the robot to clean the user-selected subset during a second mission.

A hinged mobile computing device includes a first housing part with a first display and a second housing part with a second display. The first and second housing parts are coupled by a hinge assembly that includes a spring-loaded opening mechanism configured to bias with a biasing torque the first housing part and second housing part to rotate away from each other when the first and second displays are in a closed face-to-face orientation. An electro-magnetic closure system is configured to retain the first and second displays in the closed face-to-face orientation against the biasing torque of the spring-loaded opening mechanism, and release of the electro-magnetic closure system permits the first housing part to rotationally separate from the second housing part to a predetermined angular orientation due to the biasing force of the spring-loaded opening mechanism.

A game controller can provide input to a video game played on a mobile computing device. Some games require a touch input on the touch screen of a mobile computing device, but a game controller may not have its own touch screen to receive and provide the required touch input. The game controller can be manually configured by a user of the game controller to convert an actuation of a control surface (e.g., a button, joystick, etc.) of the game controller to a touch screen input. However, this can be a very cumbersome and frustrating process for the user and has several limitations. The embodiments described herein can overcome this problem by providing a map that is automatically configured, without user configuration, to convert an input representing an actuation of the control surface into a touch screen input.

A game controller can provide input to a video game played on a mobile computing device. Some games require a touch input on the touch screen of a mobile computing device, but a game controller may not have its own touch screen to receive and provide the required touch input. The game controller can be manually configured by a user of the game controller to convert an actuation of a control surface (e.g., a button, joystick, etc.) of the game controller to a touch screen input.

A hinged mobile computing device includes a first housing part and a second housing part coupled by a hinge assembly having a harness, a harness cover, a first hinge body, and a second hinge body. The harness is configured to accommodate flexible printed circuitry and a cable that extend from the first housing part to the second housing part via the hinge assembly. The hinge bodies include respective friction bands, each friction band being configured to engage a respective shaft formed on the harness and having a gear configured to mesh with a respective cog arranged within the harness cover to coordinate a timing of the rotation of the first and second housing parts between face-to-face and back-to-back orientations. The hinge assembly further includes a spring-loaded opening mechanism.

In one embodiment, a method includes capturing images of a first user wearing a VR display device in a real-world environment. The method includes receiving a VR rendering of a VR environment. The VR rendering is from the perspective of the mobile computing device with respect to the VR display device. The method includes generating a first MR rendering of the first user in the VR environment., The first MR rendering of the first user is based on a compositing of the images of the first user and the VR rendering. The method includes receiving an indication of a user interaction with one or more elements of the VR environment in the first MR rendering. The method includes generating, in real-time responsive to the indication of the user interaction with the one or more elements, a second MR rendering of the first user in the VR environment. The one or more elements are modified according to the interaction.

The invention discloses a distribution line unmanned aerial vehicle edge end real-time visual identification and target detection method and system based on lightweight AI. The method is based on a YOLOv8 architecture, and constructs a complete lightweight detection framework comprising a feature extractor, an enhancement module and a simplified detection head by introducing a space structure maintaining assembly, a separated large kernel convolution and a weighted reconstruction feature pyramid. A cross-dimension semantic relation model is constructed by utilizing a combined attention structure, multi-level feature fusion is realized by reconstructing a feature pyramid network, model training is performed by adopting a hybrid optimization function and a dynamic sample adjustment mechanism, and the model is deployed on a mobile computing platform after being optimized by a hierarchical knowledge transfer method. According to the method, the detection speed is remarkably increased while high precision is kept, and real-time identification and anomaly analysis of the power line element are effectively realized.

Embodiments include technologies that use machine learning to update a route plan to re-route a mobile machine in a field. In some examples, a method includes using a mobile machine to perform work in a field and recording travelled path information. The recorded path information includes information about one or more paths followed by the machine when performing the work in the field. The method also includes using one or more computing devices on the machine to input the path information into a trained deep learning model and to receive new machine travel paths from the trained model. Also, the method includes using the computing device(s) on the mobile machine to control the machine to follow the new travel paths generated by the trained model.

The charging station for charging devices, such as tablets, smart phones, mobile electronic devices, mobile computing devices, and other electronic devices accepts insertion of the device into a storage aperture. Insertion of the device into the storage pushes a receiver rearward towards a charging base. A locking finger locks the receiver into position to overcome biasing devices that bias the receiver towards the storage aperture. The locking finger maintain the position of the receiver. The locking finger also releases the receiver to push the device outwards towards the exit. A conductive contact within the storage aperture contacts the device to charge and communicate with the device. A blocking finger extends across the device to also limit removal of the device from the storage aperture.

A computer-implemented method comprises receiving a first chat message at a server computer from a chat interface of a reservation application executing on a mobile computing device; determining, by the server computer, from the first chat message, whether the first chat message specifies an intent for a recommendation of a travel item by programmatically classifying the first chat message to output the intent; in response to determining that the first chat message specifies the intent, generating a first plurality of travel items and a second chat message comprising one or more descriptors of the intent, outputting the first plurality of travel items and the second chat message in the chat interface, and including, in each travel item of the first plurality of travel items, a graphical user interface (GUI) widget that is programmed when selected to initiate a reservation dialog based on the travel item; in response to determining that the first chat message does not specify the intent, outputting in the chat interface a third chat message comprising a prompt for contextual information, receiving, in the chat interface, a fourth chat message specifying the contextual information, executing an inference stage of one or more trained machine-learning models over the contextual information to output one or more named entities, deriving the intent from the first chat message and the one or more named entities, generating, using the server computer, the intent, and the one or more named entities, a second plurality of travel items and a fifth chat message comprising one or more descriptors of the intent, outputting in the chat interface the second plurality of travel items and the fifth chat message, and including, in each of the second travel items, a second GUI widget that is programmed when selected to initiate the reservation dialog based on one or more of the second travel items.

In some implementations, there is provided a process for personalized learning. In some aspects, there is provided receiving, by a user equipment, a configuration for a machine learning model, the configuration comprising a plurality of weights determined by a server during a first phase training of the machine learning model; initiating, by the user equipment, a second phase of training of the machine learning model using local training data at the user equipment to personalize the machine learning model without updating the plurality of weights of the machine learning model, and triggering, by the user equipment, a third phase of training of the machine learning model using at least the local training data at the user equipment to update the plurality of weights of the machine learning model and to further personalize the machine learning model to the user of the user equipment.

In other embodiments, a method to perform image-based searching may include receiving a group of images from a content owner; creating an index using the group of images; receiving a further image from a mobile computing device of a user; determining a correlation between the further image and the index; and / or directing the mobile computing device of the user to content of the content owner, responsive to the determining of the correlation.

A method for wireless capture of real-time audio and video at a live event using a mobile computing device includes receiving a data representation of a live audio signal corresponding to the live event via a wireless network. The method also includes processing the data representation of the live audio signal into a live audio stream. The method also includes initiating a video capture corresponding to the live event. The method also includes producing, concurrent with the video capture, a shareable video corresponding to the live event based on the captured video and the live audio stream.

A game controller can provide input to a video game (e.g., to control an object or character in the video game) and, optionally, to interact with a graphical user interface (e.g., to select the video game and / or perform other functions). The game controller can be connected with a mobile computing device, such as a mobile phone, and the game can be played locally on the mobile computing device or remotely via the mobile computing device. In one embodiment discussed herein, a platform-customized mobile game controller is provided. In another embodiment discussed herein, a mobile game controller and method are provided for connecting to a wireless audio device.

The invention discloses a computing power sensing method of a mobile computing power network, belongs to the technical field of network communication, and aims to solve the technical problem of realizing computing power registration and computing power updating when a terminal and a base station serve as computing power nodes on the premise of reducing existing 3GPP standard interfaces. An N6 interface exists between a core network UPF and a computing power registration center, a terminal and a base station obtain an IP address of the computing power registration center in a data network by expanding reserved fields of cells such as terminal capacity and protocol configuration options in an existing protocol, and computing power information of the computing power registration center is reported and updated to the computing power registration center by using an application layer protocol through a user plane. Therefore, registration and updating of computing power information of a terminal side and a base station side are realized.

A human-interface module (HIM) for an industrial automation system includes processing circuitry, and a memory, accessible by the processing circuitry, the memory storing instructions that, when executed by the processing circuitry, cause the processing circuitry to perform operations including receiving instructions to control one or more industrial automation devices of the industrial automation system via a cloud-based computing system or a mobile computing device communicatively coupled to the HIM. The operations may also include generating one or more control signals based on the instructions, transmitting the one or more control signals to the one or more industrial automation devices via an Ethernet connection, receiving process data associated with the one or more industrial automation devices, and transmitting the process data to the mobile computing device.

The invention belongs to the crossing field of biological feature recognition and mobile computing, and provides a lightweight mobile PPG signal identity recognition method and system, and the technical scheme is as follows: training a constructed lightweight feature extraction network based on PPG heartbeat cycle segments to obtain a trained lightweight feature extraction network; the construction process of the lightweight feature extraction network comprises the following steps: enhancing PPG data; the one-dimensional PPG signal after data enhancement is directly input to an input layer of a backbone network, and high-level features are output; performing decoupling analysis on the high-level features output by the backbone network, performing channel-level gating calculation and feature-level gating calculation, and fusing results obtained by calculation to obtain fused semantic features; and performing identity matching on the PPG signal of the user to be detected based on the trained lightweight feature extraction network to obtain an identity matching result. On the premise of ensuring the recognition precision, the consumption of computing resources is remarkably reduced.

For increased device security, a security policy manager is used to configure permissions for applications installed on mobile computing devices. In one approach, an evaluation server receives data associated with a context for a computing device. Based on the received data, a policy that is applicable for the current context of the computing device is identified. The identified policy has rules regarding access permissions for software installed on computing devices. The server determines a current policy implemented on the computing device, which includes determining an access permission for software installed on the computing device. The server determines that the access permission for the installed software does not comply with the policy applicable to the current context. Based on this determination, the server revokes the access permission for the installed software.

Disclosed is a content distribution system including a content server communicatively coupled to a data packet network and running one or more server-side components. A mobile computing device also communicatively coupled to the data packet network and running a client-side component may be configured to: (a) receive from said one or more server-side components a mobile device operational scenario definition; (b) activate or configure one or more monitoring routines in accordance with the device operational scenario definition; and (c) monitor said mobile computing device for an occurrence of the defined operating scenario using the activated or configured monitoring routines.

A method includes receiving an indication of an inspection of an industrial automation device being triggered, displaying, via a display of a mobile computing device, instructions for performing the inspection of the industrial automation device, receiving, via one or more sensors of the mobile computing device, one or more sensors communicatively coupled to the mobile computing device, or both, inspection data associated with the industrial automation device, processing the inspection data associated with the industrial automation device to generate results of the inspection of the industrial automation device, and displaying, via the display of the mobile computing device, the results of the inspection of the industrial automation device.

A system for forming and maintaining GPS tracked and mapped environmentally-clean chemical-based fire protection zones formed over property and ground surfaces in and about a neighborhood of homes, that proactively inhibit fire ignition and flame spread when exposed to wild fire. The system includes a GPS-tracking anti-fire (AF) liquid spraying system wirelessly connected to a wireless communication network supporting a network database. The GPS-tracked anti-fire liquid spraying system is used to spray particular GPS-specified ground surfaces in and about the neighborhood, with an environmentally-clean anti-fire chemical liquid so to form environmentally-clean chemical fire protection zones over the GPS-specified property surfaces, while generating GPS-coordinate and time / date stamped data records pertaining to the application of the environmentally-clean anti-fire chemical liquid spray during the formation of the environmentally-clean chemical fire protection zones. The GPS-coordinate and time / date stamped data records are transmitted over the wireless communication network for storage in the network database. A mobile computing system is used to access the GPS-coordinate and time / date stamped data records from the network database, relating to the formation of the GPS-specified environmentally-clean chemical fire protection zones, so as to verify that the GPS-specified environmentally-clean chemical fire protection zones were formed at the GPS-specified property surfaces on the particular date, to proactively inhibit fire ignition and flame spread when exposed to wild fire.

An example foldable mobile computing device includes a first side including a first power storage device coupled to a first regulator. The device includes a second side including a second power storage device coupled to a second regulator and connected in parallel with the first power storage device. The second side is configured to articulate relative to the first side about a hinge. The device includes processing circuitry configured to determine a power storage capacity of the first power storage device and to determine a power storage capacity of the second power storage device. The device is also configured to adjust, based on the power storage capacity of the first power storage device and the power storage capacity of the second power storage device, at least one of an impedance of the first regulator or an impedance of the second regulator.

This document describes techniques and apparatuses for computational photography under low-light conditions for an image-capture device on a mobile computing device. In aspects, described are techniques and apparatuses for an image-capture device to utilize sensor data in determining whether to enable flash photography or capture multiple images of the scene without use of a flash under low-light conditions. In other aspects, an image-capture device may utilize device data in determining whether to enable flash photography or capture multiple images of the scene without use of a flash under low-light conditions. The disclosed techniques and apparatuses may provide improved computational photography under low-light conditions for an image-capture device on a mobile computing device.

A cloud-based computer system for diagnosis of conditions to counteract adverse anatomical or medical effects of unnatural supination of subtalar joints by elevated shoe heels. The system includes smartphones or other mobile computer devices located proximate to a center of gravity of users during locomotion, sensor(s) located in a sole or removable sole insert of footwear of the users; sensor(s) located in the smartphones or mobile computer devices; a connection between the sensors and the smartphones or mobile computer devices to provide data between the sensors and the smartphones or mobile computer devices; and a connection between the smartphones or mobile computer devices and the cloud-based computer system to provide data between the smartphones or mobile computer devices and the cloud-based computer system. The sensors located in the soles or removable sole inserts of the footwear and the smartphones or mobile computer devices include a gyroscope and an accelerometer.

A computer-implemented method for managing medical equipment includes presenting, at a display of a mobile computing device associated with an inspector, an inspection user interface configured to capture one or more user inputs from the inspector, receiving inspection account information via the one or more user inputs, receiving a location of the mobile computing device, providing, at the inspection user interface, identification information for transported medical equipment that is associated with the inspection account information, receiving status information for the transported medical equipment via the one or more user inputs, receiving, at a remote medical equipment database, location information for the transported medical equipment, and updating a maintenance report for the transported medical equipment by storing an inspection information entry in the maintenance report. The inspection information entry includes a time stamp, the location information, the received status information, and the location of the mobile computing device.

Systems and methods are described for receiving a request to provide content to at least one authorized recipient; generating a customized message comprising at least one action associated with the content; causing transmission of the customized message to a mobile computing device associated with the at least one authorized recipient, requesting authorization data corresponding to the at least one authorized recipient; responsive to receiving the requested authorization data: verifying that the authorization data correlates to an identity of the at least one authorized recipient or an identity of the mobile computing device; determining a classification of the at least one authorized recipient; and generating a Rich Communication Service (RCS) message comprising the content; and scheduling, using a machine learning model and based on the determined classification, delivery of the RCS message to the mobile computing device.

An electronic device, method, and computer program product enable productivity of a combination desktop and mobile computing environments that are communicatively connected without distracting duplicative notifications on both a desktop and mobile user interface. A controller of the electronic device presents a first version of a user interface at an internal display of the electronic device and a second version at an external display of a second electronic device. The controller monitors input device(s) for an indication that user attention is directed to one of the internal display and the external display. The controller presents a notification via the first user interface at the internal display in response to determining that the user attention is directed to the internal display. The controller presents the notification via the second user interface at the external display in response to determining that the user attention is directed to the external display.

The invention discloses an adaptive task unloading mechanism driven by meta-reinforcement learning in an edge computing environment. According to the mechanism, a system architecture composed of a user equipment layer and an edge server layer is constructed, and task analysis, state perception and strategy optimization processes are combined to realize unloading scheduling optimization of a multi-task dependent structure. Task unloading is modeled as a Markov decision process, a double-layer training mechanism is adopted, local strategy training is realized by utilizing a near-end strategy optimization algorithm, and the generalization ability of the system is improved in combination with cross-task meta-strategy learning. According to the method, the sequence is fused into the sequence neural network structure and the multi-head attention mechanism, and the accuracy and efficiency of unloading strategy generation are improved while the task dependency relationship is modeled. The mechanism has good task adaptability and delay optimization performance in a dynamic edge computing environment, and is suitable for various mobile computing scenes.

A method and processing unit for training a neural network to selectively quantize weights of a filter of the neural network as either binary weights or ternary weights. A plurality of training iterations a performed that each comprise: quantizing a set of real-valued weights of a filter to generate a corresponding set of quantized weights; generating an output feature tensor based on matrix multiplication of an input feature tensor and the set of quantized weights; computing, based on the output feature tensor, a loss based on a regularization function that is configured to move the loss towards a minimum value when either: (i) the quantized weights move towards binary weights, or (ii) the quantized weights move towards a ternary weights; computing a gradient with an objective of minimizing the loss; updating the real-valued weights based on the computed gradient. When the training iterations are complete, a set of weights quantized from the updated real-valued weights is stored as either a set of binary weights or a set of ternary weights.