1740 results about "Machine interface" patented technology

An adaptive interface for a programmable system, for predicting a desired user function, based on user history, as well as machine internal status and context. The apparatus receives an input from the user and other data. A predicted input is presented for confirmation by the user, and the predictive mechanism is updated based on this feedback. Also provided is a pattern recognition system for a multimedia device, wherein a user input is matched to a video stream on a conceptual basis, allowing inexact programming of a multimedia device. The system analyzes a data stream for correspondence with a data pattern for processing and storage. The data stream is subjected to adaptive pattern recognition to extract features of interest to provide a highly compressed representation which may be efficiently processed to determine correspondence. Applications of the interface and system include a VCR, medical device, vehicle control system, audio device, environmental control system, securities trading terminal, and smart house. The system optionally includes an actuator for effecting the environment of operation, allowing closed-loop feedback operation and automated learning.

A noise-free portable EEG system is provided. The system has hardware and software and can evaluate mental state quantitatively. The quantitative data of mental states and their levels can be applied to various areas of brain-machine interface including consumer products, video game, toys, military and aerospace as well as biofeedback or neurofeedback.

A wireless wearable high data throughput (big data) brain machine interface apparatus is presented. An implanted recording and transmitting module collects neural data from a plurality of implanted electrodes and wirelessly transmits this over a short distance to a wearable (not implanted) receiving and forwarding module, which communicates the data over a wired communication to a mobile post processing device. The post processing device can send this neural data to an external display or computer enabled device for viewing and/or manipulation. High data throughput is supported by aggregating multiple groups of electrodes by multiple n-channel recording elements, which are multiplexed and then modulated into high frequency wireless communications to the wearable module. Embodiments include use of multiple radiators (multiple polarizations and/or spatially distributed), with beam alignment adjustment.

A man-machine interface is disclosed which provides force information to sensing body parts. The interface is comprised of a force-generating device (106) that produces a force which is transmitted to a force-applying device (102) via force-transmitting means (104). The force-applying device applies the generated force to a sensing body part. A force sensor associated with the force applies device and located in the force applicator (126) measures the actual force applies to the sensing body part, while angle sensors (136) measure the angles of relevant joint body parts. A force-control unit (108) uses the joint body part position information to determine a desired force value to be applies to the sensing body part. The force-control unit combines the joint body part position information with the force sensor information to calculate the force command which is sent to the force-generating device.

This invention overcomes the disadvantages of the prior art by providing a human/machine interface (HMI) for use with machine vision systems (MVSs) that provides the machine vision system processing functionality at the sensor end of the system, and uses a communication interface to exchange control, image and analysis information with a standardized, preferably portable device that can be removed from the MVS during runtime. In an illustrative embodiment, this portable device can be a web-browser equipped computer (handheld, laptop or fixed PC) or a Personal Digital Assistant (PDA). The communication interface on the sensor-end of the system is adapted to communicate over a cable or wireless communication link (for example infrared (IR) or radio frequency (RF)), with a corresponding communication interface in the portable device. The data communicated over the interconnect or link is formatted so that it is read at a data speed and level of resolution (pixel count) that is appropriate to the portable device by use of an image processor at the sensor end.

A closed loop brain-machine interface is disclosed. The closed loop brain-machine interface translates one or more neural signals into a movement, or a series of movements, performed by a machine. The close-loop brain-machine interface also provides sensory feedback to the subject. Methods of employing the closed loop brain-machine interface are also disclosed.

A system and method for implementing a server-based speech recognition system for multi-modal automated interaction in a vehicle includes receiving, by a vehicle driver, audio prompts by an on-board human-to-machine interface and a response with speech to complete tasks such as creating and sending text messages, web browsing, navigation, etc. This service-oriented architecture is utilized to call upon specialized speech recognizers in an adaptive fashion. The human-to-machine interface enables completion of a text input task while driving a vehicle in a way that minimizes the frequency of the driver's visual and mechanical interactions with the interface, thereby eliminating unsafe distractions during driving conditions. After the initial prompting, the typing task is followed by a computerized verbalization of the text. Subsequent interface steps can be visual in nature, or involve only sound.

Brain-Machine Interface (BMI) systems or movement-assist systems may be utilized to aid users with paraplegia or tetraplegia in ambulation or other movement or in rehabilitation of motor function after brain injury or neurological disease, such as stroke, Parkinson's disease or cerebral palsy. The BMI may translate one or more neural signals into a movement type, a discrete movement or gesture or a series of movements, performed by an actuator. System and methods of decoding a locomotion-impaired and/or an upper-arm impaired subject's intent with the BMI may utilize non-invasive methods to provide the subject the ability to make the desired motion using an actuator or command a virtual avatar.

A system and method for implementing a server-based speech recognition system for multi-modal automated interaction in a vehicle includes receiving, by a vehicle driver, audio prompts by an on-board human-to-machine interface and a response with speech to complete tasks such as creating and sending text messages, web browsing, navigation, etc. This service-oriented architecture is utilized to call upon specialized speech recognizers in an adaptive fashion. The human-to-machine interface enables completion of a text input task while driving a vehicle in a way that minimizes the frequency of the driver's visual and mechanical interactions with the interface, thereby eliminating unsafe distractions during driving conditions. After the initial prompting, the typing task is followed by a computerized verbalization of the text. Subsequent interface steps can be visual in nature, or involve only sound.

An operator interactive apparatus for monitoring work vehicles is disclosed. The operator interactive apparatus includes an operator and machine interface for generating inputs from a work vehicle operator. The generated inputs describe conditions or problems associated with the work vehicle. The information collected by a microprocessor is communicated directly to a remote data center over a wireless data link. The information is shared and a technical service group may dispatch parts and/or maintenance information directly to a fleet operation center or alternatively directly to the operator of the work vehicle.

An engine system for a vehicle, comprising at least one cylinder configured to vary operation between a spark ignition mode and a homogeneous charge compression ignition mode; a navigation system configured to receive navigation information and/or one or more human/machine interface (HMI) sensors; a control system for varying operation of the engine between the spark ignition mode and the homogeneous charge compression ignition mode responsive at least to one of the navigation information and HMI sensor information, where the information is used by the control system to affect transitions into the homogeneous charge compression ignition mode differently than transitions out of homogeneous charge compression ignition mode is provided.

A method and human-machine interface for backbone Virtual Local Area Network (VLAN) provisioning in bridged networking environments are provided. The method includes steps of provisioning backbone VLAN support on every backbone data transport trunk and by extension of every stackable data trunk port in the associated data transport network. The human-machine interface enables an operator to expediently effect VLAN provisioning abstracting the intricacies of the data transport network over which VLAN services are provisioned. Advantages are derived from backbone VLAN provisioning independent of an underlying in-use active spanning-tree topology. In particular backbone VLANs are provisioned over spanning-tree stand-by designated backbone data transport trunk links and therefore preprovisioned in the case of spanning-tree re-configuration. Customer VLANs are mapped onto backbone VLANs ensuring data traffic differentiation, and providing standard VLAN identifier portability. Operator VLAN provisioning tasks are lessened via provisions for the selection of all backbone/stackable data transport trunk links/ports in the data transport network in effecting VLAN identifier associations therebetween.

The invention discloses a system and method for automatically loading and unloading goods in a vending machine. The goods are stored in a layering mode, a plurality of goods channels are formed in each layer and driven by motors, and infrared emission receiving devices are installed. A lifting pick-up cabin, an electrically operated gate and infrared emission receiving devices are arranged in an automatic vending machine goods container cabin. A RFID card reader, a bar code reader, a man-machine interface touch screen, a biometric feature recognition device and a network management platform are further installed on the vending machine. Due to the mode of full-automatic loading and unloading, when a door of the machine is opened, internal cold and heat energy losses are avoided, an operator is prevented from making contact with cash, and in combination with electronic commerce network shopping, the system and method improve efficiency of physical distribution, are convenient to use and rapid, keep warm, save energy and are advanced in technology.

The invention relates to an electroencephalogram feature extracting method based on brain function network adjacent matrix decomposition. The current motion image electroencephalogram signal feature extraction algorithm mostly focuses on partially activating the qualitative and quantitative analysis of brain areas, and ignores the interrelation of the bran areas and the overall coordination. In light of a brain function network, and on the basis of complex brain network theory based on atlas analysis, the method comprises the steps of: firstly, establishing the brain function network through a multi-channel motion image electroencephalogram signal, secondly, carrying out singular value decomposition on the network adjacent matrix, thirdly, identifying a group of feature parameters based on the singular value obtained by the decomposition for showing the feature vector of the electroencephalogram signal, and fourthly, inputting the feature vector into a classifier of a supporting vector machine to complete the classification and identification of various motion image tasks. The method has a wide application prospect in the identification of a motion image task in the field of brain-machine interfaces.

A machine interface system for use in a motor vehicle includes a bezel having a display opening and at least one active surface adjacent the display opening. At least one sensor assembly is associated with the active surface and generates a sensor signal corresponding to a location on the active surface touched by a vehicle occupant. A reconfigurable display is disposed within the display opening and is configured to display, adjacent to the active surface, at least one image associated with a vehicle function. Coupled to the sensor assembly is a controller that is configured to generate the image and to receive the sensor signal. The controller responds to the sensor signal according to the vehicle function associated with the image when the corresponding active surface is touched by the occupant.

The present invention provides for a method and an apparatus for implementing corrected species by monitoring state parameters in a manufacturing process. A process run of semiconductor devices is performed. Production data relating to the process run of semiconductor devices is acquired. The acquired production data is stored into a production database. A recipe management analysis is performed. The apparatus of the present invention comprises: a recipe management system; a first machine interface connected to said recipe management system; a processing tool connected to said first machine interface; and a fault detection system connected to said first machine interface.

A distributed real-time wireless neural interface including a reader and an array of distinct recording devices. The reader outputs and receives radio-frequency signals. The array of distinct recording devices include a wireless section and a sensor section. The wireless section includes an rf power converter, an antenna, a regulator, and a modulator. The rf power converter converts radio frequency signals into power signals. The antenna receives the radio-frequency signals output by the reader and provides the radio-frequency signals to the rf power converter wherein the rf power converter converts such radio-frequency signals to power signals. The regulator receives the power signals and regulates such power signals to provide stable power signals. The modulator receives the power signals and is in communication with the antenna for utilizing the antenna to communicate with the reader. The sensor section receives the stable power signals. The sensor section is adapted to detect neural activity and provide output signals containing information indicative of such neural activity to the modulator of the wireless section whereby the modulator communicates the information in the output signals to the reader.

A sports bottle having a conventional open top with fitting lid, generally vertical sidewalls forming a cylinder with a bottom includes a valve mechanism for filling the bottle from a position other than the open top. The bottle further includes means for identifying the bottle to a dispensing machine. The dispensing machine interfaces with the valve mechanism to enable fluid to flow into the bottle to a pre-determined level. The valve mechanism further includes means for enabling the escapement of air or other gases during the fluid filling operation. The dispensing machine begins a pressurized flow of filtered water or other desired fluid when the bottle is positioned on the machine.

Automated medical diagnostic interpretation and report generation for a non-invasive medical diagnostic test, such as an echo cardiogram, is provided. Various dimension measurements and physiological measurements from an echo cardiogram machine are transferred automatically to a computer over an echo cardiogram machine interface. The dimensions and physiological measurements are automatically interpreted by an intelligent interpretation engine running on a computer, generating various machine evaluations. The physician can approve the machine evaluations, overrule them, or make appropriate adjustments. Upon completion of the physician's review, the physician approved interpretations become diagnostic conclusions, and the report containing the results of the physician's review is generated by the report generation engine.

A method for defining a robotic machine task. The method comprises a) collecting a sequence of a plurality of images showing at least one demonstrator performing at least one manipulation of at least one object, b) performing an analysis of said sequence of a plurality of images to identify demonstrator body parts manipulating said at least one object and said at least one manipulation of said at least one object, c) determining at least one robotic machine movement to perform said task, and d) generating at least one motion command for instructing said robotic machine to perform said task.

A method of recording an object image of a first hologram as a second hologram is provided. A first hologram is recorded at a first angle of reconstruction and a holographic recording medium is provided. An object beam is directed through the first hologram at the first angle of reconstruction to reconstruct the object image on the recording medium. The recording medium is struck with a reference beam at a second angle of reconstruction to form a wave interference pattern with the object beam. The second angle of reconstruction is between 45 and 90 degrees. The wave interference pattern is recorded. A switch is provided that includes a hologram that has an angle of reconstruction between 45 and 90 degrees. A reproducing light source is positioned to direct light through the hologram at the angle of reconstruction to form a holographic image at a predetermined distance from the hologram. The switch includes a detector that detects the presence of an object proximate to the holographic image. The axis of the detector beam source is not perpendicular to the plane of the medium to which its hologram is affixed.

State machine interface system, heart state machine analyzer and/or stimulator, comprising state machine algorithms and a graphical user interface, adapted to receive signals from a sensor device that are related to physiological activities of the heart and/or the circulatory system of a living being and the state machine algorithms determine states of heart cycles based upon the signals. The determined heart cycle states are graphically presented at the graphical user interface such that the temporal relation between the different states are illustrated. The graphical user interface may be circular diagrams or bar graphs including parts representing the temporal relation between the different states.

A system for serving a shared-ride user, including a non-transitory storage component and a hardware-based processing unit performing module functions. The storage includes a user-input-interface module that receives, from a machine interface, user-input data regarding a user/co-passenger interaction. The storage includes a ride-sharing module determining, based on input data, an identity or account for the co-passenger, and an output module performing an action based on the identity or account. In another aspect, the storage includes a commerce module determining, based on the input data, a service or product indicated in the interaction and the output action is based on the service or product. In another aspect, the storage includes a social-media module accessing a social-media resource to, using the input data, determine an identity or account of the co-passenger, a product or service indicated by the co-passenger or the user in the interaction, or a schedule of the co-passenger.