INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING DEVICE, AND INFORMATION PROCESSING METHOD
FIG3 is an explanatory diagram illustrating a configuration example of hardware of an information processing device 101 and a data acquisition device 201
The databases 203 store data acquired from the data acquisition devices 201, data obtained by converting the acquired data, and feature amounts extracted from the data obtained by the conversion. Next, the hardware configuration of the information processing device 101 will be described with reference to FIG3. FIG3 is an explanatory diagram illustrating a configuration example of hardware of the information processing device 101 and the data acquisition device 201. In FIG3, the information processing device 101 includes a control unit 301, a main storage unit 302, an auxiliary storage unit 303, a drive device 304, a network interface (I/F) unit 306, an input unit 307, and an output unit 308. The control unit 301 to the drive device 304, and the network I/F unit 306 to the output unit 308 are connected to each other by a bus 309.
explanatory diagram
201
202
hubs hub
307
input unit
303
auxiliary storage unit
315
bus
313
auxiliary storage unit
304
drive device
302
main storage unit
314
network I/F unit
308
output unit
312
main storage unit
306
unit
301
control unit
305
storage medium
210
network
311
control unit
102
sensor
101
information processing device
3
309
bus
['1. An information processing system comprising: a sensor configured to measure at least a motion among a state or the motion of a living body or an object; and an information processing device capable of communicating with the sensor, wherein the information processing device is configured to extract, from time-series data obtained by the sensor, a first data section, in which the state of the living body or the object is changed to a predetermined state or the living body or the object makes a predetermined motion, extract, from the time-series data, a second data section different from the first data section, calculate, based on a feature amount of the first data section and a feature amount of the second data section, a likelihood value that indicates likelihood that the second data section is an adjustment motion section during which a motion for adjusting a posture of the living body or the object is made for the first data section, and determine, based on the likelihood value that is calculated, whether the second data section is an adjustment motion section for the first data section.', '13. An information processing device capable of communicating with a sensor configured to measure at least a motion among a state or the motion of a living body or an object, comprising a control unit configured to extract, from time-series data obtained by the sensor, a first data section, in which the state of the living body or the object is changed to a predetermined state or the living body or the object makes a predetermined motion, extract, from the time-series data, a second data section different from the first data section, calculate, based on a feature amount of the first data section and a feature amount of the second data section, a likelihood value that indicates likelihood that the second data section is an adjustment motion section during which a motion for adjusting a posture of the living body or the object is made for the first data section, and determine, based on the likelihood value that is calculated, whether the second data section is an adjustment motion section for the first data section.']