Motion discrimination method and device using a hidden markov model

A motion discrimination method comprising the steps of:

• detecting a motion made by a human operator to produce detection values;
• creating labels based on the detection values, so that the labels are assembled together by a unit time to form label series corresponding to the detected motion;
• providing a plurality of Hidden Markov Models each of which is constructed to learn specific label series regarding a specific motion;
• performing calculations to produce a probability that at least one of the plurality of Hidden Markov Models outputs the label series corresponding to the detected motion;
• and
• discriminating a kind of the detected motion based on result of the calculations.

A motion discrimination device comprising:

• sensor means for detecting a motion to produce detection values;
• labeling means for converting the detection values to labels by a certain time unit;
• label-series creating means for creating label series consisting of the labels which are outputted from the labeling means by the certain time unit;
• Hidden-Markov-Model storage means for storing a plurality of Hidden Markov Models each of which is constructed to learn specific label series corresponding to a specific motion;
• calculation means for performing calculations to obtain a probability that at least one of Hidden Markov Models outputs the label series;
• and
• discrimination means for discriminating a kind of the detected motion, detected by the sensor means, on the basis of result of the calculations.

A motion discrimination device comprising:

• sensor means for detecting a motion made by a human operator to produce detection values;
• labeling means for creating labels based on the detection values;
• label-series creating means for creating label series corresponding to the detected motion, wherein the label series contains the labels which are supplied thereto from the labeling means by a time unit which is determined in advance;
• a plurality of Hidden Markov Models, each of which is constructed to learn specific label series corresponding to a specific motion;
• probability calculating means for performing calculations to produce a probability that at least one of the plurality of Hidden Markov Models outputs the label series corresponding to the detected motion;
• and
• discrimination means for discriminating a kind of the detected motion based on result of the calculations.

A storage device storing programs and data which cause an electronic apparatus to execute a motion discrimination method comprising the steps of:

• detecting a motion made by a human operator to produce detection values;
• creating labels based on the detection values, so that the labels are assembled together by a unit time to form label series corresponding to the detected motion;
• providing a plurality of Hidden Markov Models each of which is constructed to learn specific label series regarding a specific motion;
• performing calculations to produce a probability that at least one of the plurality of Hidden Markov Models outputs the label series corresponding to the detected motion;
• and
• discriminating a kind of detected motion based on result of the calculations.