Estimation device, estimation system, estimation method, and program recording medium
In order to estimate the type of footwear worn by a pedestrian, an estimation device and the like according to the present invention are provided with: an extraction unit which acquires sensor data from a sensor installed on the footwear, and uses the sensor data to extract a walking feature quantity characteristic of walking in footwear; and an estimation unit which estimates the type of footwear on the basis of the walking feature quantity extracted by the extraction unit.
1 . A distribution system comprising:
a memory storing instructions; and
a processor connected to the memory and configured to execute the instructions to:
acquire sensor data including acceleration and angular velocity from a sensor installed on a footwear of a user;
extract a gait feature quantity characteristic of walking in the footwear by using time-series data of the sensor data including the acceleration and the angular velocity;
estimate a heel height of the footwear, the heel height being a relative height of the heel of the footwear with respect to a footrest portion of a sole of the footwear, based on the gait feature quality characteristic of walking in the footwear by using a second model obtained by machine learning the gait feature quantity characteristic of walking in the footwear with the heel height of the footwear used as a second label; and
distribute recommendation information related to a gait according to the heel height of the footwear to a terminal device used by the user so as to make a decision to improve the walking with the footwear.
2 . The distribution system according to claim 1 , wherein
the processor is configured to execute the instructions to
distribute the recommendation information relevant to degree of decrease in the heel height of the footwear to the terminal device.
3 . The distribution system according to claim 2 , wherein
the processor is configured to execute the instructions to
distribute the recommendation information including information of a product similar to the footwear according to the degree of decrease in the heel height of the footwear.
4 . The distribution system according to claim 3 , wherein
the processor is configured to execute the instructions to
distribute the recommendation information including URL (Uniform Resource Locator) to a site where the product can be purchased to the terminal device.
5 . The distribution system according to claim 1 , wherein
the processor is configured to execute the instructions to
estimate the heel height of the footwear based on the gait feature quantity by using a model obtained by machine-learning the gait feature quantity characteristic of walking in the footwear with the heel height of the footwear used as a label.
6 . The distribution system according to claim 1 , wherein
the processor is configured to execute the instructions to
distribute the recommendation information regarding the gait of the user optimized for a healthcare application to the terminal device.
7 . The distribution system according to claim 1 , further comprising
a data acquisition device including an acceleration sensor and an angular velocity sensor, wherein
the data acquisition device is installed on the footwear.
8 . A distribution method executed by a computer, the method comprising:
acquiring sensor data including acceleration and angular velocity from a sensor installed on a footwear of a user;
extracting a gait feature quantity characteristic of walking in the footwear by using time-series data of the sensor data including the acceleration and the angular velocity; and
estimating a heel height of the footwear, the heel height being a relative height of the heel of the footwear with respect to a footrest portion of a sole of the footwear, based on the gait feature quantity characteristic of walking in the footwear by using a second model obtained by machine learning the gait feature quantity characteristic of walking in the footwear with the heel height of the footwear used as a second label; and
distributing recommendation information related to a gait according to the heel height of the footwear to a terminal device used by the user so as to make a decision to improve the walking with the footwear.
9 . A non-transitory program recording medium storing a program for causing a computer to execute:
a process of acquiring sensor data including acceleration and angular velocity from a sensor installed on a footwear of a user;
a process of extracting a gait feature quantity characteristic of walking in the footwear by using time-series data of the sensor data including the acceleration and the angular velocity; and
a process of estimating a heel height of the footwear, the heel height being a relative height of the heel of the footwear with respect to a footrest portion of a sole of the footwear, based on the gait feature quantity characteristic of walking in the footwear by using a second model obtained by machine learning the gait feature quantity characteristic of walking in the footwear with the heel height of the footwear used as a second label; and
a process of distributing recommendation information related to a gait according to the heel height of the footwear to a terminal device used by the user so as to make a decision to improve the walking with the footwear.
10 . The distribution system according to claim 1 , wherein the at least one processor is configured to execute the instructions to predict a change in the heel height over time.
11 . The distribution method according to claim 8 , wherein the distributing the recommendation information comprises distributing recommendation information relevant to a degree of decrease in the heel height of the footwear to the terminal device.
12 . The distribution method according to claim 11 , wherein the distributing the recommendation information comprises distributing recommendation information including information of a product similar to the footwear according to the degree of decrease in the heel height of the footwear.
13 . The distribution method according to claim 12 , wherein the distributing the recommendation information comprises distributing recommendation information including a Uniform Resource Locator (URL) to a site where the product can be purchased to the terminal device.
14 . The distribution method according to claim 8 , wherein the estimating a heel height of the footwear based on the gait feature quantity by using a model obtained by machine-learning the gait feature quantity characteristic of walking in the footwear with the heel height of the footwear used as a label.
15 . The non-transitory program recording medium according to claim 9 , wherein the program is configured to cause the computer to execute a process of distributing the recommendation information relevant to a degree of decrease in the heel height of the footwear to the terminal device.
16 . The non-transitory program recording medium according to claim 15 , wherein the program is configured to cause the computer to execute a process of distributing the recommendation information including information of a product similar to the footwear according to the degree of decrease in the heel height of the footwear.
17 . The non-transitory program recording medium according to claim 16 , wherein the program is configured to cause the computer to execute a process of distributing the recommendation information including a Uniform Resource Locator (URL) to a site where the product can be purchased to the terminal device.
18 . The non-transitory program recording medium according to claim 9 , wherein the program is configured to cause the computer to execute a process of estimating a heel height of the footwear based on the gait feature quantity by using a model obtained by machine-learning the gait feature quantity characteristic of walking in the footwear with the heel height of the footwear used as a label.