INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING DEVICE, AND INFORMATION PROCESSING METHOD
FIG17 is an explanatory diagram illustrating an example of sensor data during walking of the patient uA in the first embodiment
The data acquisition device 201 can also access a sensor data storage unit 410. The sensor data storage unit 410 is stored in an storage area of the main storage unit 312, the auxiliary storage unit 313, or the like. An example of the stored content of the sensor data storage unit 410 is illustrated in FIG17. FIG17 is an explanatory diagram illustrating an example of sensor data during walking of the patient uA in the first embodiment. FIG17 illustrates a gyro value of each of the portions. Specifically, the sensor data pieces 1701-1 to 1701-4 indicate sensor data pieces of the left foot gyro value, the right foot gyro value, the waist gyro value, and the waist acceleration value respectively at each time. Here, the sensor 102 of the data acquisition device 201 measures the acceleration and the gyro value in the directions of three axes. However, in FIG17, in order to simplify the illustration, the gyro value is illustrated only in the frontal-horizontal axis rotation direction, and the acceleration is illustrated only in the up and down direction. The same applies to the following description unless otherwise specified. The information processing device 101 acquires sensor data of each portion from the sensor data storage unit 410.
explanatory diagram
400
sensor data acquisition unit
17
No.
410
['9. The information processing system according to claim 8, wherein the living body is a patient, one motion model of the plurality of motion models has a ratio between a movement amount of the waist of the living body in the front and back direction and a movement amount of the waist of the living body in the left and right direction, a rotational speed of the foot of the living body, and a strength of stepping on the foot as the feature amounts, and in the one motion model, the calculating processing calculates the likelihood value higher when a condition is satisfied comparing to the likelihood value when the condition is not satisfied, the condition being that the movement amount of the waist in the front and back direction in the second data section is as large as the movement amount of the waist in the left and right direction multiplied by a predetermined threshold value, and/or the rotational speed of the foot in the first data section and the strength of stepping on the foot in the first data section is within a predetermined threshold value range.']