94 results about "Kinetic information" patented technology

The present invention relates to a movement disorder monitor, and a method of measuring the severity of a subject's movement disorder. The present invention additionally relates to a drug delivery system for dosing a subject in response to the increased severity of a subject's symptoms. The present invention provides for a system and method, which can accurately quantify symptoms of movements disorders, accurately quantifies symptoms utilizing both kinetic information and electromyography (EMG) data, that can be worn continuously to provide continuous information to be analyzed as needed by the clinician, that can provide analysis in real-time, that allows for home monitoring of symptoms in subject's with these movement disorders to capture the complex fluctuation patterns of the disease over the course of days, weeks or months, that maximizes subject safety, and that provides remote access to the clinician or physician.

The present invention relates to a movement disorder monitor with high sensitivity, and a method of measuring the severity of a subject's movement disorder. The present invention additionally relates to a drug delivery system for dosing a subject in response to the increased severity of a subject's symptoms. The present invention provides for a system and method, which can accurately and repeatably quantify symptoms of movements disorders, accurately quantifies symptoms utilizing both kinetic information and/or electromyography (EMU) data, that can be worn continuously to provide continuous information to be analyzed as needed by the clinician, that can provide analysis in real-time, that allows for home monitoring of symptoms in subject's with these movement disorders to capture the complex fluctuation patterns of the disease over the course of days, weeks or months, that maximizes subject safety, and that provides substantially real-time remote access to data by the clinician or physician.

The disclosure describes a wireless urodynamic monitoring system with an automated voiding diary feature. The system senses and records urodynamic information in response to a user command or in response to detection of the onset of a voiding event. The urodynamic information obtained over a series of voiding events forms an automated voiding diary that is useful in diagnosis of urological disorders. An implantable monitor obtains the urodynamic information and either records the information locally or transmits the information to an external controller via a wireless telemetry link. In some embodiments, the external controller may include a loop recorder for recording urodynamic information obtained by the implantable monitor over an extended period of time.

An information processing apparatus includes a bio-information obtaining unit configured to obtain bio-information of a subject; a kinetic-information obtaining unit configured to obtain kinetic information of the subject; and a control unit configured to determine an expression or movement of an avatar on the basis of the bio-information obtained by the bio-information obtaining unit and the kinetic information obtained by the kinetic-information obtaining unit and to perform a control operation so that the avatar with the determined expression or movement is displayed.

A music recommendation system and method is provided and include a processor that is configured to collect kinetic information and control information of a vehicle. In addition, the processor is configured to generate stress information of a driver by processing the kinetic information and the control information and extract physical properties of a music by performing an audio signal process on the a music file and extract an emotional property that corresponds to the physical properties of the music. The processor is further configured to connect and store the music information of the music file and the emotional property of the music and search music that corresponds to the stress information to recommend the music for the driver.

The invention relates to an automatic detection alarming system for falling over of human body and an information processing method thereof; the system is composed of a wearable detection device and a base station; the wearable detection device comprises a three-axis acceleration sensor, a two-axis angular rate sensor, an A/D, an information processing device and a wireless signal emission device; the base station comprises a signal receiving device and an alarming device; the wearable detection device is wore on the trunk part of the human body, the relative kinesiology and kinetics information is collected and is fused, so as to judge whether human body activity has falling over action; if a wearer falls over and needs to be helped, the falling-over information is transmitted to the base station, and the base station transmits a message for help to relevant departments or related personnel after receiving a wireless signal. The automatic detection alarming system has the characteristics of high detectable rate and low false rate, so as to judge the falling over of the human body and provide rescue for the old, patients, dangerous operating personnel who fall over.

Video data is compressed using segmentation of reference frames where the segmentation results in a hierarchy of segments. The hierarchy can be generated bottom-up, where a first set of segments is generated and then a second set of segments generated by grouping segments of the first set, based on pixel value and/or segment boundaries. The hierarchy can be generated top-down, where a first set is generated and then a second set is generated by dividing up segments of the first set, based on pixel value and/or segment boundaries. The hierarchy can be included in the compressed video data or omitted such that a decoder would have to independently generate it. The hierarchy can be two or more levels. The hierarchy can be used for editing, formatting and/or compressing frames, as well as associating metadata with elements of the frame and coding motion, residue or other kinetic information.

A reconfigurable mechanical arm decentralized control system and control method adopting position measuring belong to the field of robot control systems and control algorithms, and aim to solve the problems existing traditional reconfigurable mechanical arm control systems and methods thereof. The control method comprises the steps of initializing a system, detecting a reading of an incremental encoder to obtain position measuring information, and establishing a non-linear speed observer based on the information; according to the established non-linear speed observer, establishing a disturbance observation model; adopting an observation value obtaining a joint speed and a joint torque to establish a reconfigurable mechanical arm system dynamics model; by a given joint speed observer, a torque observer, expected dynamics information and the system dynamics model, adopting dynamics information of local joints to design a decentralized controller, compensating the modeling errors containing model determining items and friction and coupling items among joints, and inhibiting buffeting of the controller and enabling a mechanical arm joint to precisely trace an expected track.

A person making a handwritten signature performs a series of three-dimensional movements with a plane graphical finality. The movements generate kinetic information perceived by a special pen that the signature is performed with (the writing and digital acquisition device for the primary bio-kinetic information). The information, concordant to the afferent bio-kinetic pattern, is collected by included MEMS type acceleration sensors in the pen. The system analyzes the generated information (the signals) and determines the dynamic-biometrical characteristics based upon the biometrical dimension of the information. The characteristics are transformed into data vectors and invariants that are stored in a database. Based on algorithms, the system performs the required comparisons between the spatial kinetics of the specimens and the kinetics of the entrances and obtains distance-type answers. In statistical terms, the results are related to the entire subject database, by interpreting and sampling methods.

This invention relates to methods and systems for in silico or bioinformatic modeling of cellular metabolism. The invention includes methods and systems for modeling cellular metabolism of an organism, comprising constructing a flux balance analysis model, and applying constraints to the flux balance analysis model, the constraints selected from the set consisting of: qualitative kinetic information constraints, qualitative regulatory information constraints, and differential DNA microarray experimental data constraints. In addition, the present invention provides for computational procedures for solving metabolic problems.

The invention discloses a kinetic characteristic detecting method based on a built-in sensor signal of an industrial robot. The kinetic characteristic detecting method comprises the following steps that: a data acquisition board acquires a signal of each joint servo motor coder of the industrial robot, and reads position feedback pulse count, sent to a robot control cabinet, of a joint servo motor of the industrial robot; a calculating processing unit performs coordinate conversion computation of a joint conversion matrix in a D-H model on kinetic information of each joint of the industrial robot according to the robot kinetic D-H model to obtain a coordinate value and motion track, under a base coordinate system of the industrial robot, of real-time point location of the industrial robot end, and a calculating processing unit performs three-dimensional space real-time display on the coordinate value and the motion track through the display screen; and theoretical point location of the industrial robot end is compared with the obtained coordinate value to given position precision information. The kinetic characteristic detecting method is simple in detecting principle and is easy to realize, has the advantages of being convenient, quick and capable of real-time detection; and a measuring device does not need to be additionally arranged on the robot end, so that cost is greatly reduced.

The invention discloses a highway vehicle homogeneous/heterogeneous formation driving control method. According to the method, formation driving is realized based on control logic which is representedby wish decision, uniform heterogeneity judgment, queue numbering, vehicle coordinated lane change and steady driving. A head vehicle, used as a decision-making vehicle, sends a formation request tothe other vehicles, and receives the formation wills of the other vehicles and decides formation; the head vehicle judges whether a formation is a homogeneous formation or a heterogeneous formation bymeans of the quantitative calculation of the formation vehicles, and applies different numbering mechanisms respectively; and each vehicle judges whether the vehicle itself or the vehicle ahead needslane change according to the homogeneous formation, the heterogeneous formation, the states of the vehicles and dynamics information, and performs lane change when reaching a safety distance. According to the highway vehicle homogeneous/heterogeneous formation driving control method of the invention, the vehicles are numbered according to the homogeneous/heterogeneous property of the formation ina highway formation process, and the stable operation of the vehicles in the formation is ensured; a virtual mode in which the vehicles form a formation in a predicted manner is adopted to divide adjacent two vehicles into one group of planned trajectories, and therefore, the complexity of the formation can be greatly simplified, and the efficiency of the formation can be improved.

The invention relates to a time-resolved charged particle imaging apparatus. The apparatus includes a femtosecond laser system, delay light path system, a vacuum system, a beam source system, a charged particle velocity focusing electrode group, an external magnetic field shielding system, a charged particle imaging detector and an image acquisition system. The apparatus combines a femtosecond ultrafast time resolution technology with a charged particle velocity focusing and imaging technology, and can be used to measure the high resolution energy spectrum of charged particles of high resolution and the real-time change information of angle distribution in order to realize detection of the ultrafast dynamics process of the excited state of a neutral atom or molecule system. The development of an experiment method with an ultrafast time resolution function is important in order to obtain detailed dynamics information of the excited state of atoms and molecules.

The embodiment of the invention provides an automatic driving simulation method and device, electronic equipment and a storage medium. The method comprises the steps of building a simulation scene; constructing vehicle modeling information of the target vehicle, wherein the vehicle modeling information comprises simulation sensor information, vehicle dynamics information and three-dimensional digital-analog information; running automatic driving simulation of the target vehicle, and collecting simulation sensor sensing data of the target vehicle in an automatic driving simulation running process; inputting simulation sensor sensing data into a sensing algorithm module for learning iteration, and/or inputting simulation sensor sensing data of a target vehicle and true value sensor sensing data obtained based on a simulation scene into an evaluation module, thus evaluating a sensing algorithm corresponding to the simulation sensor according to an error between the sensing data of the simulation sensor and the sensing data of the true value sensor. Therefore, safe and efficient learning and evaluation of the automatic driving perception algorithm are realized.

The invention discloses a blood analyzing device (100) comprising a holder (110) arranged for carrying a container (10) having a cuvette (20) containing a blood sample (30). The container (10) is positioned in the holder (110) so that a longitudinal axis (60) of the cuvette (20) is angled relative a horizontal axis (70). A light source (120) provides light (40) into the sample (30) and a detector (130) detects the output light (50) from a sub-portion of the blood sample (30). Kinetic information indicative of the change in hemoglobin concentration in a measuring volume (32, 34) is determined by a Hb processor (145) from the detected output light (50). An ESR processor (140) determines the erythrocyte sedimentation rate of the sample (30) based on the kinetic information.

A decoder decodes compressed video data wherein nonkey frames are decoded with reference to other frames from the video data that are reference frames. The decoder generates at least a part of a segmentation of the reference frames for use in decoding nonkey frames. A nonkey frame is regenerated using kinetic information about the current frame and the reference frame segmentation. Kinetic information might include segment translation information. Where the segmentation used in encoding the compressed video data can vary among a plurality of segmentation schemes, the decoder determines which segmentation scheme is used from selection indications in the compressed video data or from previously decoded video data. The decoder might also use partial segmentation information, segmentation hints, partial segment canonical information and/or canonical hints in its segmentation process. The decoder might also process segment-related metadata extracted the compressed video data.

The invention discloses a photoelectrochemical kinetics test system and method based on a scanning electrochemical microscope. The system includes a scanning electrochemical microscope device, a Pt ultra microelectrode, a sample fixing device, a light source device and a rotary table control device. The scanning electrochemical microscope comprises a three-dimensional control device and an electrochemical workstation. The sample fixing device comprises a PTFE chemical tank and a fixed part. The light source device comprises a radiator, a DC power supply and red, yellow, blue and white LED light sources arranged on the edge of the radiator disc in order. The rotary table control device comprises a central processor, a disc with light through hole, a controller and a stepper motor. The invention can overcome the defect of insufficient information acquisition in the current solar cell and photoelectrocatalysis interfacial chemical reaction kinetics, quickly get accurate information of interfacial reaction kinetics, and provide strong experimental parameters for researching solar cells or photoelectrocatalysis water decomposition device.

The invention provides a model-free control method for a high-order nonlinear system, and popularizes the provided method to a high-order multiple-input-multiple-output nonlinear system. Dynamics information of the system is essentially implied in a higher-order differential signal, so that the method is characterized by, to begin with, designing a cascade observer to obtain a high-order differential signal; then, designing a feedback controller by utilizing the high-order differential signal; and popularizing the method to the multiple-input-multiple-output nonlinear system. Theoretical analysis and simulation study show effectiveness of the method. The provided controller method does not need an accurate dynamical model of a model, and information of external disturbance and the like is implied in the observed higher-order differential signal, so that accurate obtaining of the higher-order differential signal in the method is particularly important, and rapidity and estimation precision of the method can cause great influence on the tracking performance of the system.

The invention discloses a random set theory-based multi-target tracking method. The method includes the following steps that: a multi-target state space is expanded, model dimension is increased based on original kinetic information, and therefore, characterization of target model information can be realized; a state transfer function and a likelihood function are expanded based on a jump Markov system, so that the state transfer function and the likelihood function can contain the model information; and the prediction and update process of an expanded multi-model generalized label multi-target Bernoulli filter is realized, and target states are extracted, and a target motion model is estimated. With the method adopted, problems in maneuvering multi-target tracking can be solved. The method has the advantages of high robustness, high adaptability and high estimation accuracy. With the method adopted, the problem of high multi-target maneuverability and inconsistency in practical application can be solved, and maneuvering multi-target tracking and target motion model estimation under complex scenes can be realized.

The invention relates to a road adhesion coefficient interactive estimation method based on vision and dynamics. The method comprises the following steps of: S1, acquiring a road image in front of a vehicle in a driving process; S2, inputting the road image into a trained road classification model to obtain a front road type; S3, according to the front road type and the mapping relationship between the road type and a road adhesion coefficient, acquiring a road adhesion coefficient visual estimation value theta yimage; S4, acquiring dynamic information of tires in the vehicle driving process;S5, acquiring a current road peak adhesion coefficient estimation value theta y by utilizing a road adhesion coefficient-tire aligning torque estimator; and S6, combining the road adhesion coefficientvisual estimation value theta ximage and the current road peak adhesion coefficient estimation value theta y, and acquiring a final road adhesion coefficient estimation value by utilizing a fuzzy reasoning rule. Compared with the prior art, the method has the advantages of high estimation precision, good real-time performance, strong robustness and the like.

A system and method for deriving information on disease in vascular segments for example mean pressure, drop in mean pressure and/or hydraulic resistance, from such measured waveforms is described. The waveforms can, for example, be measured non-invasively using Doppler ultrasound or magnetic resonance techniques. Form Factors (Vff, Pff) for the velocity waveform and the central arterial pressure are determined. Lesions may be detected and located using the estimated non-invasive hemodynamic information

The invention discloses an electromagnetic wave three-dimensional reverse time migration imaging method under a higher-order time domain algorithm, and relates to the computing electromagnetics and broadband radar detection. The method is suitable for the exploration and data collection and imaging of an underground object of a UWB (ultra wide band) radar and a hidden medium region, and is also widely suitable for the geological prospecting, road inspection and through-wall imaging. The forward direction field distribution of a time domain excitation signal received by the UWB radar and the reverse field distribution of a time domain observation signal received by the UWB radar are obtained through a three-dimensional high-order time domain finite difference method and an experiment signaldetected by the UWB radar. The method theoretically overcomes the inclination restriction under the condition that the requirements of the reverse time migration imaging are met, and can achieve theprecise imaging. The method employs the radar signal for the numerical simulation of the reverse time migration imaging simulation of a target region, and can effectively obtain the dynamic information of a to-be-detected object. Compared with a conventional electromagnetic imaging algorithm, the method is higher in imaging resolution, and layers a solid foundation for the discrimination of the to-be-detected object and the parametric inversion.

The invention provides a molecular dynamics measurement device and method based on quantum coherence control. The molecular dynamics measurement device comprises a femtosecond laser light source, a beam splitter, a pump light path system, a femtosecond pulse shaper, a detection light path system, a computer and a pulse measuring system, wherein the beam splitter is used for dividing the femtosecond laser into pump light and detection light; the pumping light path system enables pumping light to enter the femtosecond pulse shaper and then excite the chemical sample; the detection light path system is used for collecting transient absorption spectrum signals of a first excitation single state and a first excitation triplet state of the chemical sample; and the pulse measuring system is composed of a beam splitting sheet and a spatial encoding type spectral phase coherent direct electric field reconstruction method. The molecular dynamics measurement device is capable of combining the quantum coherence regulation and controlling, the pumping detection technology and the pulse measuring technology, the branch ratio of different light excitation relaxation products can be changed by optimizing the laser pulses, the dynamics information of the whole spectrum detected is analyzed under different shape pulses, and the information obtained by the pumping detection technology is greatlyenriched.