Blast Motion Inc.

Telerobotics Corporation

John Goree

Bhaskar Bose

Michael D Bentley

Tim Haynes

Brian Feldman

Piyush Gupta

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.

Intelligent motion capture element

An initialization method for an inertial sensor that estimates starting orientation and velocity without requiring the sensor to start at rest or in a well-known location or orientation. Initialization uses patterns of motion encoded as a set of soft constraints that are expected to hold approximately during an initialization period. Penalty metrics are defined to measure the deviation of calculated motion trajectories from the soft constraints. Differential equations of motion for an inertial sensor are solved with the initial conditions as variables; the initial conditions that minimize the penalty metrics are used as estimates for the actual initial conditions of the sensor. Soft constraints and penalty metrics for a specific application are chosen based on the types of motion patterns expected for this application. Illustrative cases include applications with relatively little movement during initialization, and applications with approximately periodic motion during initialization.

Initializing an inertial sensor using soft constraints and penalty functions

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.

Motion capture element

Allows for the assignment of threat(s) to weapon(s) to allow operators to coordinate actions. Enables dynamic discovery and operation weapon(s), sensor(s) over a local or public network so available weapons can be selected by operators. Sensors may act as simulated weapons and may also reside in a video surveillance system (VSS). Sensors may be collocated or away from weapons which may differ in number. Sensors simulating weapons are transparently interchangeable with actual weapons. Simulated actors and events may be injected into system with operator gestures recorded for later analysis. Operator may control more than one weapon or sensor at a time. Operator user interface may be cloned onto another computer for real-time supervision or for later use. Integration of existing VSS with a network of remotely operated weapons or simulated weapons enables a passive video surveillance system upgrade to become a projector of lethal or non-lethal force.

Network weapon system and method

Embodiments of the invention enable an operator to interact with a video surveillance system comprising at least one sensor. The sensor may be configured to operate as a simulated weapon, or may be replaced by or augmented with a real weapon and in either case the simulated or real weapon is controlled over a network. The network may comprise the local video surveillance network or a network linking with a remotely operated weapon system. The integration of an existing video surveillance system with a network of remotely operated weapons and/or weapon simulators enables use of the resources of either system by the other system and enables a passive video surveillance system to become an active projector of lethal or non-lethal force.

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San Francisco, CA, United States of America

John Goree