602 results about "Motion analysis" patented technology

A device comprised of at least a pair of accelerometers and a tilt sensor mounted in fixed relation to a datum plane defining surface (sole of a shoe) may be used for extracting kinematic variables including linear and rotational acceleration, velocity and position. These variables may be resolved into a selected direction thereby permitting both relative and absolute kinematic quantities to be determined. The acceleration is determined using a small cluster of two mutually perpendicular accelerometers mounted on a shoe. Angular orientation of the foot may be determined by double integration of the foot's angular acceleration (which requires a third accelerometer substantially parallel to one of the two orthogonal accelerometers). The two orthogonal accelerations are then resolved into a net horizontal acceleration or other selected direction which may be integrated to find the foot velocity in the selected direction. The average of the foot velocity corresponds to the subject's gait speed.

A system and method for analyzing and improving the performance of an athletic motion such as a golf swing requires: instrumenting a user with inertial sensors and video cameras and monitoring a golf swing or such other athletic motion of interest; drawing upon and contributing to a vast library of performance data for analysis of the test results; the analysis including scoring pre-defined parameters relating to component parts of the motion and combining the parameter scores to yield a single, kinetic index score for the motion; providing a real-time, information rich, graphic display of the results in multiple, synchronized formats including video, color coded and stepped frame animations from motion data, and data / time graphs; and based on the results prescribing a user-specific training regime with exercises selected from a library of standardized exercises using standardized tools and training aids.

A system and method for analyzing and improving the performance of an athletic motion such as a golf swing requires: instrumenting a user with inertial sensors and video cameras and monitoring a golf swing or such other athletic motion of interest; drawing upon and contributing to a vast library of performance data for analysis of the test results; the analysis including scoring pre-defined parameters relating to component parts of the motion and combining the parameter scores to yield a single, kinetic index score for the motion; providing a real-time, information rich, graphic display of the results in multiple, synchronized formats including video, color coded and stepped frame animations from motion data, and data / time graphs; and based on the results prescribing a user-specific training regime with exercises selected from a library of standardized exercises using standardized tools and training aids.

There is a need for a technique to compensate for, or eliminate, motion-induced artifacts in patient-attached critical care monitoring instruments. Consequently, the invention is directed to improving pulse-oximetry by incorporating additional signals to aid in the triggering of the pulse-oximeter or in analyzing the data received by the pulse oximeter. This includes detecting when the patient moves and analyzing the pulse-oximetry data in light of the detected movement.

A method and concomitant apparatus for comprehensively representing video information in a manner facilitating indexing of the video information. Specifically, a method according to the inveniton comprises the steps of dividing a continuous video stream into a plurality of video scenes; and at least one of the steps of dividing, using intra-scene motion analysis, at least one of the plurality of scenes into one or more layers; representing, as a mosaic, at least one of the pluraliy of scenes; computing, for at least one layer or scene, one or more content-related appearance attributes; and storing, in a database, the content-related appearance attributes or said mosaic representations.

A system and method for analyzing and improving the performance of a body motion of an animal or human subject requires instrumenting a subject with inertial sensors, monitoring a body motion of interest, converting sensor data into motion data and animation, comparing the motion data with existing data for motion related performance parameters, providing a real-time, information rich, animation and data display of the results in color coded displays; and based on the results prescribing a training regime with exercises selected from a library of standardized exercises using standardized tools and training aids.

A method of selecting key-frames (230) from a video sequence (210, 215) by comparing each frame in the video sequence with respect to its preceding and subsequent key-frames for redundancy where the comparison involves region and motion analysis. The video sequence is optionally pre-processed to detect graphic overlay. The key-frame set is optionally post-processed (250) to optimize the resulting set for face or other object recognition.

The present invention relates to a method of intelligent 2D and 3D object and scene modeling, transformation and manipulation and more particularly this invention relates to the field of computer modeling, virtual reality, animation and 3D Web streaming. The method uses attributed hypergraph representations (AHR) for modeling, transforming and manipulating objects. From one or more 2D views of a 3D object or scene, range information is first computed and then a triangular mesh model is constructed. The data structure is designed to handle the transformations on the representation corresponding to movements and deformations of the object. In an attributed hypergraph, the attributes associated with the hyperedges and the vertices facilitates modeling of various shapes with geometrical, physical or behavior features. As a hierarchical and generic representation, AHR enables pattern matching, recognition, synthesis and manipulation to be carried out at different resolution levels on different subsets depending on the context. Symbolic computation on knowledge represented in the format of attributed hypergraphs becomes straightforward. Given the features of a 3D object or scene, the procedure of constructing the AHR corresponds to the concept of functor in category theory, which maps one category to another one. The transformations of AHR are in the form of a set of operations defined on attributed hypergraphs, which stand for the motions and deformations of the object. This representation is applied to various modeling and manipulation tasks on 3D objects. The process of motion analysis of a 3D object is the task of extracting a sequence of AH operators from the AHR of the object. A 3D scene can be modeled by AHR and then altered / augmented with other 3D models, by which an augmented reality can be built. Given the AHR's of two different 3D shapes, 3D morphing may be accomplished by matching the two AHR's and then mapping the difference to a sequence of AH operators. Model based animation of an object can be accomplished by applying a set of AH operators to its AHR. The AHR method forms a data compression system for efficient web streaming over the Internet.

Video encoding device including a video input processor, for receiving said video signal, a global controller, for controlling the global operation of the video encoding device, a motion estimation processor, a digital signal processor and a bit-stream processor, wherein the global controller stores encodes commands received from a host interface thereby programming the video input processor, the motion estimation processor, the digital signal processor and the bit-stream processor, the video input processor receives and stores the video signal in an external memory unit, the motion estimation processor retrieves the video signal from the memory unit, generates motion analysis of the video signal, stores the motion analysis in the memory unit and provides the motion analysis to the digital signal processor, the digital signal processor processes the video signal according to the motion analysis, thereby producing an encoding commands sequence and encoded data, the bit-stream processor produces an encoded video signal according to the encoding command sequence and the encoded data.

A method and apparatus for dynamic modeling of an object having material points. The method includes receiving signals from a sensor which correspond to respective material points; providing a volumetric model, having functions as parameters, representative of the object; and adapting the parameters to fit a changing model shape. This method of dynamic shape modeling dynamic motion modeling or both includes shape estimation and motion analysis. The apparatus includes a signal processor for receiving signals from a sensor, a second signal processor for providing a volumetric model having functions as parameters representative of the object and a third signal processor for receiving sensed signals and adapting the model and providing a dynamic representation.

A handheld ultrasound instrument is disclosed having enhanced diagnostic modes including pulse / continuous wave Doppler, time-motion analysis, spectral analysis and tissue harmonic imaging. An external electrocardiograph (ECG) recording unit is also disclosed. The ECG unit is adaptable to be used with the handheld ultrasound instrument to provide for ECG monitoring while performing an ultrasound scan in B-mode, Doppler, color Doppler, M-mode, and CW / PW mode. The enhanced handheld ultrasound instrument further includes a security mechanism allowing any combination of the diagnostic modes to be enabled by the manufacturer, and later to enable or disable any one or group of the diagnostic modes. The invention also discloses a method for a manufacturer to maintain a database of handheld ultrasound instrument capabilities after the instruments enter the stream of commerce.

Enables event analysis from sensors including environmental, physiological and motion capture sensors. Also enables displaying information based on events recognized using sensor data associated with a user, piece of equipment or based on previous motion analysis data from the user or other user(s) or other sensors. Enables intelligent analysis, synchronization, and transfer of generally concise event videos synchronized with motion data from motion capture sensor(s) coupled with a user or piece of equipment. Enables creating, transferring, obtaining, and storing concise event videos generally without non-event video. Events stored in the database identifies trends, correlations, models, and patterns in event data. Greatly saves storage and increases upload speed by uploading event videos and avoiding upload of non-pertinent portions of large videos. Creates highlight and fail reels filtered by metrics and can sort by metric. Compares motion trajectories of users and objects to optimally efficient trajectories, and to desired trajectories.

The analysis tool is a system and method for providing athletic training and instruction as it pertains to a golf club swing motion, specially a golf putting stroke motion. The analysis tool provides analysis information to a user from the analysis of at least one video image recording device. The motion of the golf club during the swing or stroke is determined by processing the video image frame data collected by the video image recording device(s). The resulting measurements are displayed by the computer processing environment and presented to the user numerically or pictorially for the purposes of instruction and improvement.

Detection of an omitted process in an event having of a sequence of processes includes: receiving video of an action area; receiving transaction data regarding a transaction occurring at the action area; detecting at least two different actor motion states in the video; detecting an event based on the motion states; and detecting the omitted process based on the detected event and the transaction data.

A system and method for measuring and analyzing motility within a body lumen such as the gastrointestinal (GI) tract, where an in vivo imaging device such as a capsule captures images and transmits the images to a processor, which calculates the motility of the device based on comparison of the images. Preferably, the processor compares the intensity of pairs of images or of elements of pairs of images, generates a variance for the compared images, and calculates the motility of the imaging device from the variances. The motility data may be presented to a user in various manners; for example, a plot of motility over time may be generated, or indications of low motility may be presented to the user of the system.

A system for automatically capturing an event of interest in a venue is disclosed, comprising a plurality of cameras for capturing video images of the event; and at least one processor communicatively connected to said plurality of cameras and con figured to execute a plurality of modules, said modules comprising a rectification module for combining the video images to form a wide-angle view; at least one of a motion analysis module configured for tracking salient blobs that are not part of a background of the wide-angle view, an activity analysis module configured for extracting temporal and spatial patterns from the wide-angle view, and a shape and appearance module configured for selecting one or more objects in the wide-angle view based on descriptors that are scale and rotational invariant; and a region of interest selector for selecting a viewpoint from the wide-angle view based on output from at least one of the motion analysis module, the activity analysis module, and the shape and appearance module, wherein the region of interest selector outputs the selected viewpoint for display. The system further comprises at least one audio recording device for capturing audio from the event; and means for synchronizing the video images and audio.

A method that integrates sensor data and video analysis to analyze object motion. Motion capture elements generate motion sensor data for objects of interest, and cameras generate video of these objects. Sensor data and video data are synchronized in time and aligned in space on a common coordinate system. Sensor fusion is used to generate motion metrics from the combined and integrated sensor data and video data. Integration of sensor data and video data supports robust detection of events, generation of video highlight reels or epic fail reels augmented with metrics that show interesting activity, and calculation of metrics that exceed the individual capabilities of either sensors or video analysis alone.

Motion Analysis is used to classify or rate human capability in a physical domain via a minimized movement and data collection protocol producing a discreet, overall figure of merit of the selected physical capability. The minimal protocol is determined by data mining of a more extensive movement and data collection. Protocols are relevant in medical, sports and occupational applications. Kinematic, kinetic, body type, Electromyography (EMG), Ground Reactive Force (GRF), demographic, and psychological data are encompassed. Resulting protocols are capable of transforming raw data representing specific human motions into an objective rating of a skill or capability related to those motions.

A physical skills training system in which motion sensor data is collected and analyzed under dynamic training conditions, for the purpose of automatically identifying the type of motion being attempted, assessing said motion, and providing real-time feedback to the user so the user may adjust their subsequent orientations and movements without interruption of normal game play. The system operates under ongoing, dynamic training sessions wherein the user may continuously move about a field of play and select from a variety of positions and motion types, in addition to stationary practice scenarios. The system provides a calibration mode, in which a user may create optimum, user-specific reference profiles, which are stored in the computer, and a measured play mode in which user movements and orientations are continuously assessed against the reference motions and feedback is provided in real-time.

The invention relates to an anomaly detection method based on a motion field local statistical character analysis. The system mainly comprises the motion field analysis of video images, a local statistical character extraction and a statistical study and a mode identification technology based on samples. Firstly, the characteristics of objects in an image are extracted through a basic motion analyzing technology, the motion status is calculated, and a motion field is formed. On the basis, the statistical character extraction is implemented on the local motion information to obtain the local motion characteristics of the motion field. Finally, the space distribution relationship of the motion characteristics is expressed by global structured information. A method based on the statistical study is adopted for recognizing behavior styles. The algorithm implements the behavior recognition directly through the analysis based on the motion information to improve the efficiency and the robustness of the algorithm.

A gait training system using motion analysis is provided to perform consecutive motion analysis while a person to be measured is walking on a treadmill. The gait training system includes a treadmill including a belt rotatable by a roller of which a rotating rate is adjustable in response to a walking speed of a walker; and measuring means for transferring signals associated with a movement of a body of the walker. The measuring means are attached to the body. A control unit analyzes a walking movement based on a data from the measuring means, and a display unit displays the data to the walker.

The present invention provides a motion analysis system for manufacturing of dental orthotics and prosthetics using computer aided means. The process includes measuring the relative function of one anatomical structure to another based on optical data and in some cases enhanced with other sensor data. The components of hard and soft tissue are used in analysis and where the data can be compared in a time series such that a computer generated occlusal surface from which either a treatment orthosis or prosthesis could be manufactured to aid with dental treatment.

The invention relates to a method and a system for analyzing, teaching and identifying the biomechanics of body motion from a video source. Repeatable body motion activities are analyzed as a series of positions of interest that trigger superimposed smart model animations. The properties of body part images, including location, scale and rotation are determined by a combination of manual and automatic means thereby tailoring the smart models to the underlying video images of the body in motion. Based on the proximity of the subject's actual motion to the ideal-or-expected motion defined for the smart models, quantitative characterizations of the motion performance are made.

A motion analysis device includes two posture angle sensors attached to a measurement object at locations distant from each other, a data acquisition section, a posture angle correction section, and a deformation amount calculation section. The data acquisition section acquires data of a first posture angle and a second posture angle respectively detected by the posture angle sensors. The posture angle correction section corrects a difference between the first posture angle and the second posture angle after starting a motion of the measurement object in accordance with a difference between the first posture angle and the second posture angle before starting the motion of the measurement object. The deformation amount calculation section calculates a deformation amount of the measurement object based on a difference between the first posture angle and the second posture angle corrected by the posture angle correction section.

A system and method for real-time quantitative analysis of heart wall motion is provided. A Doppler imaging system is used to monitor the movement of a heart, or other organ. A B-mode reference image of the target organ is made and then a region-of-interest is defined through the use of a gate. Then pulsed wave spectral tissue Doppler data of the region-of-interest is formed and used to determine the velocity of a region of the target organ. The system may be used for determining appropriate biventricular pacemaker settings for patients suffering from heart disease.

A compact, inexpensive, real-time device for computing dense stereo range and motion field images, which are fundamental measurements supporting a wide range of computer vision systems that interact with the real world, where objects move through three-dimensional space includes a novel algorithm for image-to-image comparison that requires less storage and fewer operations than other algorithms. A combination of standard, low-cost and low-power components are programmed to perform algorithm and performs realtime stereo and motion analysis on passive video images, including image capture, digitization, stereo and / or motion processing, and transmission of results.

The invention discloses a face unlocking method based on motion analysis. The method comprises the steps that image information is collected, if the image information contains face image information, face recognition is conducted on the face image information, and a recognized face image is obtained; if the recognized face image is matched with a preset face image, and prompt information is sent out to prompt a user to make a corresponding face motion according to the prompt information; a face motion image of the user is collected, and the face motion of the user is analyzed; if the face motion of the user is matched with the face motion which is made by the user according to the requirement of the prompt information, a terminal device is unlocked. According to the face unlocking method, users without permissions are prevented from logging in to the terminal device through pictures or videos in a cracking mode, and face unlocking safety is improved. The invention further discloses a face unlocking device and terminal based on motion analysis.

Virtual reality-based adaptive systems and methods are disclosed for improving the delivery of physical therapy and rehabilitation. The invention comprises an interactive software solution for tracking, monitoring and logging user performance wherever sensor capability is present. To provide therapists with the ability to observe and analyze different motion characteristics from the exercises performed by patients, novel visualization techniques are provided for specific solutions. These visualization techniques include color-coded therapist-customized visualization features for motion analysis.

The analysis tool is a system and method for providing athletic training and instruction as it pertains to a golf club swing motion, specially a golf putting stroke motion. The analysis tool provides analysis information to a user from the analysis of at least one video image recording device. The motion of the golf club during the swing or stroke is determined by processing the video image frame data collected by the video image recording device(s). The resulting measurements are displayed by the computer processing environment and presented to the user numerically or pictorially for the purposes of instruction and improvement.