1662 results about "Motion capture" patented technology

A method and apparatus for obtaining an image to determine a three dimensional shape of a stationary or moving object using a bi dimensional coded light pattern having a plurality of distinct identifiable feature types. The coded light pattern is projected on the object such that each of the identifiable feature types appears at most once on predefined sections of distinguishable epipolar lines. An image of the object is captured and the reflected feature types are extracted along with their location on known epipolar lines in the captured image. Displacements of the reflected feature types along their epipolar lines from reference coordinates thereupon determine corresponding three dimensional coordinates in space and thus a 3D mapping or model of the shape of the object at any point in time.

An orientation and position tracking system and method in three-dimensional space and over a period of time utilizing multiple inertial and other sensors for determining motion parameters to measure orientation and position of a moveable object. The sensors, for example vibrational and angular velocity sensors, generate signals characterizing the motion of the moveable object. The information is received by a data acquisition system and processed by a microcontroller. The data is then transmitted to an external data reception system (locally based or a global network), preferably via wireless communication. The information can then be displayed and presented to the user through a variety of means including audio, visual, and tactile. According to various embodiments, the present invention provides for a motion tracking apparatus and method for implementation in motion systems including systems to teach motion to a group and for body motion capture and analysis systems.

Non-intrusive peripheral systems and methods to track, identify various acting entities and capture the full motion of these entities in a sports event. The entities preferably include players belonging to teams. The motion capture of more than one player is implemented in real-time with image processing methods. Captured player body organ or joints location data can be used to generate a three-dimensional display of the real sporting event using computer games graphics.

Intelligent motion capture element that includes sensor personalities that optimize the sensor for specific movements and / or pieces of equipment and / or clothing and may be retrofitted onto existing equipment or interchanged therebetween and automatically detected for example to switch personalities. May be used for low power applications and accurate data capture for use in healthcare compliance, sporting, gaming, military, virtual reality, industrial, retail loss tracking, security, baby and elderly monitoring and other applications for example obtained from a motion capture element and relayed to a database via a mobile phone. System obtains data from motion capture elements, analyzes data and stores data in database for use in these applications and / or data mining. Enables unique displays associated with the user, such as 3D overlays onto images of the user to visually depict the captured motion data. Enables performance related equipment fitting and purchase. Includes active and passive identifier capabilities.

Motion capture element for low power and accurate data capture for use in healthcare compliance, sporting, gaming, military, virtual reality, industrial, retail loss tracking, security, baby and elderly monitoring and other applications for example obtained from a motion capture element and relayed to a database via a mobile phone. System obtains data from motion capture elements, analyzes data and stores data in database for use in these applications and / or data mining, which may be charged for. Enables unique displays associated with the user, such as 3D overlays onto images of the user to visually depict the captured motion data. Ratings, compliance, ball flight path data can be calculated and displayed, for example on a map or timeline or both. Enables performance related equipment fitting and purchase. Includes active and passive identifier capabilities.

The present invention relates to systems and methods for monitoring patient support exiting and initiating a response. Movement data is accessed from sensors (e.g., cameras) that are monitoring a patient resting on a support platform. A motion capture pattern summary is generated from the accessed movement data. The motion capture pattern summary is compared to one or more movement pattern data sets in a library of movement pattern data sets. It is determined that the motion capture pattern summary is sufficiently similar to one of the one or more movement pattern data sets in the library of movement pattern data sets. From the determined similarity it is determined that the patient is attempting to exit the support platform. Remedial measures are initiated to prevent the detected platform support exiting attempt.

Enables intelligent 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. Greatly saves storage and increases upload speed by uploading event videos and avoiding upload of non-pertinent portions of large videos. Provides intelligent selection of multiple videos from multiple cameras covering an event at a given time, for example selecting one with least shake. Enables near real-time alteration of camera parameters during an event determined by the motion capture sensor, and alteration of playback parameters and special effects for synchronized event videos. Creates highlight reels filtered by metrics and can sort by metric. Integrates with multiple sensors to save event data even if other sensors do not detect the event. Also enables analysis or comparison of movement associated with the same user, other user, historical user or group of users.

A method is described comprising: positioning a plurality of color-coded motion capture markers at a plurality of points on a performer's body, wherein the color-coded motion capture markers are colored with at least two or more different colors; and tracking the color-coded motion capture markers during a motion capture session using two or more color cameras and a color-coded motion capture subsystem, the color-coded motion capture subsystem identifying each individual color-coded motion capture element based on its color and / or its relationship to the other color-coded motion capture markers.

Completely automated end-to-end method and system for markerless motion capture performs segmentation of articulating objects in Laplacian Eigenspace and is applicable to handling of the poses of some complexity. 3D voxel representation of acquired images are mapped to a higher dimensional space (k), where k depends on the number of articulated chains of the subject body, so as to extract the 1-D representations of the articulating chains. A bottom-up approach is suggested in order to build a parametric (spline-based) representation of a general articulated body in the high dimensional space followed by a top-down probabilistic approach that registers the segments to an average human body model. The parameters of the model are further optimized using the segmented and registered voxels.

Portable wireless mobile device motion capture and analysis system and method configured to display motion capture / analysis data on a mobile device. System obtains data from motion capture elements and analyzes the data. Enables unique displays associated with the user, such as 3D overlays onto images of the user to visually depict the captured motion data. Ratings associated with the captured motion can also be displayed. Predicted ball flight path data can be calculated and displayed. Data shown on a time line can also be displayed to show the relative peaks of velocity for various parts of the user's body. Based on the display of data, the user can determine the equipment that fits the best and immediately purchase the equipment, via the mobile device. Custom equipment may be ordered through an interface on the mobile device from a vendor that can assemble-to-order customer built equipment and ship the equipment. Includes active and passive golf shot count capabilities.

A collaborative visualization system integrates motion capture and virtual reality, along with kinematics and computer-aided design (CAD), for the purpose, for example, of evaluating an engineering design. A virtual reality simulator creates a full-scale, three-dimensional virtual reality simulation responsive to computer-aided design (CAD) data. Motion capture data is obtained from users simultaneously interacting with the virtual reality simulation. The virtual reality simulator animates in real time avatars responsive to motion capture data from the users. The virtual reality simulation, including the interactions of the one or more avatars and also objects, is displayed as a three-dimensional image in a common immersive environment using one or more head mounted displays so that the users can evaluate the CAD design to thereby verify that tasks associated with a product built according to the CAD design can be performed by a predetermined range of user sizes.

Wireless golf club motion capture apparatus configured to obtain spatial data from at least one sensor that is coupled with a microcontroller wherein the apparatus fits into a golf club handle or weight port or otherwise couples to a golf club. The apparatus may send a unique identifier and spatial data over a self-contained radio and antenna wirelessly to an external system that may analyze and display the spatial data in a user-friendly manner. The unique identifier and / or radio through use of non-interfering communications mechanisms allows for multiple clubs one or more players to be within range of a wireless receiver and not interfere. Adapters that may be specific to each golf club manufacture allow for coupling the apparatus to any type of golf club.

A sensing system is provided for measuring various joints of a human body for applications for performance animation, biomechanical studies and general motion capture. One sensing device of the system is a linkage-based sensing structure comprising rigid links interconnected by revolute joints, where each joint angle is measured by a resistive bend sensor or other convenient goniometer. Such a linkage-based sensing structure is typically used for measuring joints of the body, such as the shoulders, hips, neck, back and forearm, which have more than a single rotary degree of freedom of movement. In one embodiment of the linkage-based sensing structure, a single long resistive bend sensor measures the angle of more that one revolute joint. The terminal ends of the linkage-based sensing structure are secured to the body such that movement of the joint is measured by the device. A second sensing device of the sensing system comprises a flat, flexible resistive bend sensor guided by a channel on an elastic garment. Such a flat sensing device is typically used to measure various other joints of the body which have primarily one degree of freedom of movement, such as the elbows, knees and ankles. Combining the two sensing devices as described, the sensing system has low sensor bulk at body extremities, yet accurately measures the multi-degree-of-freedom joints nearer the torso. Such a system can operate totally untethered, in real time, and without concern for electromagnetic interference or sensor occlusion.

A sensor event detection and tagging system that analyzes data from multiple sensors to detect an event and to automatically select or generate tags for the event. Sensors may include for example a motion capture sensor and one or more additional sensors that measure values such as temperature, humidity, wind or elevation. Tags and event detection may be performed by a microprocessor associated with or integrated with the sensors, or by a computer that receives data from the microprocessor. Tags may represent for example activity types, players, performance levels, or scoring results. The system may analyze social media postings to confirm or augment event tags. Users may filter and analyze saved events based on the assigned tags. The system may create highlight and fail reels filtered by metrics and by tags.

A method and system are provided for the visual display of anatomical forces, that system having: a motion capture system; a computer, receiving data from said motion capture system; and a computational pipeline disposed on said computer; that computational pipeline being configured to calculate muscle forces and joint torques in real time and visually display those forces and torques.

A method is described comprising: applying a random pattern to specified regions of an object; tracking the movement of the random pattern during a motion capture session; and generating motion data representing the movement of the object using the tracked movement of the random pattern.

A method for simultaneously recording motion and still images, includes the steps of: capturing a motion image sequence and accompanying audio of a scene with a digital video camera adapted to record both motion and higher resolution still images; simultaneously capturing a still image sequence having a higher resolution and lower frame rate than the motion capture sequence; compressing the motion image sequence using interframe compression and the accompanying audio and storing the compressed motion image and audio data; and compressing the still images using intraframe coding and storing the compressed still image data.

A system and method for capturing and analyzing motion. According to embodiments of the present invention, the system and method may include defining a standard motion; receiving a first signal from a first sensor, the first signal being representative of a motion under analysis; receiving a second signal from a second sensor, the second signal being representative of the motion under analysis; synchronizing the first signal to the second signal; and comparing the motion under analysis represented by the synchronized first signal and second signal to the standard motion. The system may include video cameras and position sensors and may be include a computer. The computer may be networked.

Enables recognition of events within motion data including but not limited to motion capture data obtained from portable wireless motion capture elements such as visual markers and sensors, radio frequency identification tags and motion sensors within mobile device computer systems, or calculated based on analyzed movement associated with the same user, other user, historical user or group of users. Provides low power transmission of events. Greatly reduces storage for events such as a shot, move or swing of a player, a concussion of a player, boxer, rider or driver, or a heat stroke, hypothermia, seizure, asthma attack, epileptic attack. Events may be correlated with image(s) as captured from internal / external camera(s) or nanny cam, for example to enable saving video of the event, such as the first steps of a child, violent shaking events, sporting, military or other motion events including concussions, or falling events associated with an elderly person.

A method is described comprising: applying a series of curves on specified regions of a performer's face; tracking the movement of the series of curves during a motion capture session; and generating motion data representing the movement of the performer's face using the tracked movement of the series of curves.

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.

A radio frequency (RF) motion capture system includes stationary sensor receivers, one or more transmitter marker tags on one or more objects to be tracked within a capture zone, at least one stationary reference tag transmitter, and a processing system for processing the received signals. The individual tags transmit burst of spread-spectrum RF signals. The transmitted signals include a common sync code, and a tag identification code that is unique to each tag. By computing double differences of pseudoranges, clock terms are cancelled out allowing the processing system to precisely determine the location of each tag as it moves through the capture zone without the need to synchronize clocks between sensors and tags. The system can be used for RF match moving.

The present invention relates to systems and methods for monitoring patient support exiting and initiating a response. Movement data is accessed from sensors (e.g., cameras) that are monitoring a patient resting on a support platform. A motion capture pattern summary is generated from the accessed movement data. The motion capture pattern summary is compared to one or more movement pattern data sets in a library of movement pattern data sets. It is determined that the motion capture pattern summary is sufficiently similar to one of the one or more movement pattern data sets in the library of movement pattern data sets. From the determined similarity it is determined that the patient is attempting to exit the support platform. Remedial measures are initiated to prevent the detected platform support exiting attempt.

A sensor event detection system including a motion capture element with a memory, sensor, microprocessor, first communication interface and another sensor. The sensor captures values associated with an orientation, position, velocity and acceleration of the motion capture element. The first communication interface receives other values associated with a temperature, humidity, wind and elevation, and the other sensor locally captures the other values. The microprocessor collects data that includes sensor values from the sensor, stores the data in the memory, and recognizes an event within the data to determine event data. The microprocessor correlates the data or event data with the other values to determine a false positive event or a type of equipment the motion capture element is coupled with, or a type of activity indicated by the data or event data, and transmits the data or event data associated with the event via the first communication interface.

A method of capturing a video of a scene depending on the speed of motion in the scene, includes capturing a video of the scene; determining the relative speed of motion within a first region of the video of the scene with respect to the speed of motion within a second region of the video of the scene; and causing a capture rate of the first region of the video of the scene to be greater than a capture rate of the second region of the video of the scene, or causing an exposure time of the first region to be less than exposure time of the second region.

Embodiments of the present invention provide methods and apparatus wherein physics models are integrated with motion capture animation to allow for variability in animations, dynamic response, such as animating events different from those for which motion capture data was obtained, including changes in character purpose and collisions. The physical model may include sets of internal forces and / or external forces. To facilitate the integration of mo-cap animation data with physics models, mo-cap animation data is played back using forces on physical models rather than directly setting joint angles or positions in a graphical skeleton, which allows the animation to be dynamically altered in real-time in a physically realistic manner by external forces and impulses.