Information processing method, wearable apparatus, content reproduction device, content reproduction system, and content reproduction method

A wearable apparatus comprising:

• an information acquisition section that acquires user information including body motion information of a user;
• a processing section that determines a swimming stroke of the user on the basis of the acquired user information, and obtains evaluation index information which is stroke information when the user swims in each swimming stroke, wherein the stroke information is based on a result of a main component analysis that is performed by the processing section that is configured to:
• analyze a scattering direction of a distribution with respect to three-axis accelerations for a past n seconds;
• obtain a new coordinate system formed of first to third main component axes obtained through analyzing the scattering direction;
• convert values of the three-axis accelerations measured in a sensor coordinate system into values in the new coordinate system;
• and
• obtain first to third main components which are accelerations in respective axes of the new coordinate system;
• and
• an output section that outputs information in which the evaluation index information in each swimming stroke is correlated with each swimming stroke.

An information processing method comprising:

• causing an information acquisition section to perform a process of acquiring user information including body motion information of a user;
• causing a processing section to perform a process of determining a swimming stroke of the user on the basis of the user information, and obtaining evaluation index information which is stroke information when the user swims in each swimming stroke, wherein the stroke information is based on a result of an acceleration distribution analysis that is performed by:
• performing main component analysis on three-axis acceleration signals so as to obtain first to third eigenvectors, first to third eigenvalues, and first to third main components;
• performing fast Fourier transform on the first to third main components so as to obtain first to third power spectra, and maximum values of the respective power spectra are used as spectral maximum values;
• obtaining an autocorrelation function using the obtained power spectrum of the first main component obtained;
• determining whether or not a stable maximum value is present in the autocorrelation function;
• determining a turn state or a rest state in a case where the stable maximum value is not detected;
• and
• determining, in a case where the maximum value is detected, any one of the four swimming strokes and an in-water walk state, performing swimming stroke/in-water walk determination by using the eigenvectors and eigenvalues obtained and the spectral maximum values obtained, and calculating stroke information on the basis of the maximum value of the autocorrelation function;
• and
• causing an output section to output information in which the evaluation index information in each swimming stroke is correlated with each swimming stroke.

A wearable apparatus comprising:

• an information acquisition section that acquires user information including body motion information of a user;
• a processing section that determines a swimming stroke of the user on the basis of the acquired user information, and obtains evaluation index information which is stroke information when the user swims in each swimming stroke, wherein the stroke information is based on a result of an acceleration distribution analysis that is performed by the processing section that is configured to:
• perform main component analysis on three-axis acceleration signals so as to obtain first to third eigenvectors, first to third eigenvalues, and first to third main components;
• perform fast Fourier transform on the first to third main components so as to obtain first to third power spectra, and maximum values of the respective power spectra are used as spectral maximum values;
• obtain an autocorrelation function using the obtained power spectrum of the first main component obtained;
• determine whether or not a stable maximum value is present in the autocorrelation function;
• determine a turn state or a rest state in a case where the stable maximum value is not detected;
• and
• determine, in a case where the maximum value is detected, any one of the four swimming strokes and an in-water walk state, performing swimming stroke/in-water walk determination by using the eigenvectors and eigenvalues obtained and the spectral maximum values obtained, and calculating stroke information on the basis of the maximum value of the autocorrelation function;
• and
• an output section that outputs information in which the evaluation index information in each swimming stroke is correlated with each swimming stroke.