Human interface device and method
First Claim
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1. A method for state tracking based gesture recognition engine for a sensor system comprising the steps of:
- defining a plurality of sequential states of a first order Markov Model,determining a Sequence Progress Level (SPL) for each state,mapping a state probability distribution to an SPL on run-time, andutilizing the mapped SPL estimate as an output value of the sensor system.
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Abstract
A method for state tracking based gesture recognition engine for a sensor system has the steps of: defining a plurality of sequential states of a finite-state machine, determining a Sequence Progress Level (SPL) for each state, mapping a state probability distribution to a (single) SPL on run-time, and utilizing the mapped SPL estimate as an output value of the sensor system.
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Citations
37 Claims
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1. A method for state tracking based gesture recognition engine for a sensor system comprising the steps of:
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defining a plurality of sequential states of a first order Markov Model, determining a Sequence Progress Level (SPL) for each state, mapping a state probability distribution to an SPL on run-time, and utilizing the mapped SPL estimate as an output value of the sensor system. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36)
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37. A method for state tracking based gesture recognition engine for a sensor system comprising the steps of:
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defining a plurality of sequential states of a finite-state machine, determining a Sequence Progress Level (SPL) for each state, mapping a state probability distribution to a SPL on run-time, and utilizing a mapped SPL estimate as an output value of the sensor system.
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Specification