Information processing apparatus and information processing method

Patent metadata

Field	Value
Publication number	US-2022061737-A1
Application number	US-202117454180-A
Country	US
Kind code	A1
Filing date	Nov 9, 2021
Priority date	Jun 20, 2016
Publication date	Mar 3, 2022
Grant date	—

Abstract

An information processing apparatus according to the present technology includes a processing section that executes a process including a correction process of specifying noise included in perspiration data acquired by a perspiration sensor on a basis of sensor data acquired by a different type of sensor than the perspiration sensor, and removing the noise from the perspiration data. According to such a technology, noise estimated according to other sensor data can be removed from the perspiration data, making it possible to maintain high accuracy in a later process of estimating activity in the autonomic nerves.

First claim

What is claimed is:

1 . An information processing apparatus, comprising:
a processing section configured to:
acquire perspiration data corresponding to an individual from a perspiration sensor and sensor data from a specific sensor different from the perspiration sensor;
remove, based on the sensor data, noise from the perspiration data to obtain corrected perspiration data;
extract mental perspiration data from the corrected perspiration data based on an extraction model that indicates a relationship between the corrected perspiration data and a parameter associated with the extraction of the mental perspiration data; and
estimate an activity in autonomic nerves of the individual based on the extracted mental perspiration data.

2 . The information processing apparatus according to claim 1 , wherein the processing section is further configured to:
acquire feedback-related information based on a user input, wherein the user input is with respect to a result of the estimation of the activity in the autonomic nerves; and update the extraction model based on the acquired feedback-related information.

3 . The information processing apparatus according to claim 1 , wherein
the perspiration data includes thermal perspiration data and the mental perspiration data, the mental perspiration data corresponds to mental perspiration that is based on the activity in the autonomic nerves of the individual, and the thermal perspiration data corresponds to thermal perspiration different from the mental perspiration.

4 . The information processing apparatus according to claim 1 , wherein the processing section is further configured to remove the noise from the perspiration data based on a noise model that indicates a relationship between the noise and at least one of the perspiration data or the sensor data.

5 . The information processing apparatus according to claim 4 , wherein the processing section is further configured to:
acquire feedback-related information based on a user input, wherein the user input is with respect to a result of the estimation of the activity in the autonomic nerves; and update the noise model based on the acquired feedback-related information.

6 . The information processing apparatus according to claim 1 , wherein the specific sensor acquires the sensor data at a same time as an acquisition of the perspiration data by the perspiration sensor.

7 . The information processing apparatus according to claim 1 , wherein the processing section is further configured to estimate the activity in the autonomic nerves based on a time-series distribution of the mental perspiration data.

8 . The information processing apparatus according to claim 1 , wherein
the processing section is further configured to estimate the activity in the autonomic nerves of the individual based on an activity estimation model, and the activity estimation model indicates a relationship between:
a parameter associated with the estimation of the activity, and
at least one of the mental perspiration data or the sensor data.

9 . The information processing apparatus according to claim 1 , wherein the processing section is further configured to:
extract thermal perspiration data from the corrected perspiration data; and estimate the activity in the autonomic nerves of the individual based on the extracted thermal perspiration data.

10 . The information processing apparatus according to claim 1 , wherein the activity in the autonomic nerves includes an activity in sympathetic nerves.

11 . The information processing apparatus according to claim 1 , further comprising a context acquisition section configured to acquire context information related to the individual, wherein
the perspiration sensor is at least one of wearable by the individual or attachable to the individual, and the processing section is further configured to remove the noise from the perspiration data based on the context information.

12 . The information processing apparatus according to claim 1 , wherein the specific sensor different from the perspiration sensor is at least one of wearable by the individual or attachable to the individual.

13 . The information processing apparatus according to claim 12 , wherein the specific sensor includes at least one of:
a biological sensor that detects biological information of the individual, or a tracking sensor that detects a motion of the individual.

14 . The information processing apparatus according to claim 1 , the specific sensor different from the perspiration sensor acquires environmental information related to a space.

15 . An information processing method, comprising:
acquiring perspiration data corresponding to an individual from a perspiration sensor and sensor data from a specific sensor different from the perspiration sensor; removing, based on the sensor data, noise from the perspiration data to obtain corrected perspiration data; extracting mental perspiration data from the corrected perspiration data based on an extraction model that indicates a relationship between the corrected perspiration data and a parameter associated with the extraction of the mental perspiration data; and estimating an activity in autonomic nerves of the individual based on the extracted mental perspiration data.

16 . A non-transitory computer-readable medium having stored thereon computer-executable instructions, which when executed by a computer, cause the computer to execute operations, the operations comprising:
acquiring perspiration data corresponding to an individual from a perspiration sensor and sensor data from a specific sensor different from the perspiration sensor; removing, based on the sensor data, noise from the perspiration data to obtain corrected perspiration data; extracting mental perspiration data from the corrected perspiration data based on an extraction model that indicates a relationship between the corrected perspiration data and a parameter associated with the extraction of the mental perspiration data; and estimating an activity in autonomic nerves of the individual based on the extracted mental perspiration data.

Assignees

• Sony Group Corp

Inventors

• Yoshikawa Kiyoshi
• Sazuka Naoya
• Wakita Yoshihiro

Classifications

• A61B5/7278

  Artificial waveform generation or derivation, e.g. synthesizing signals from measured signals · CPC title

• A61B2560/0252

  using ambient temperature · CPC title

• A61B5/11 Primary

  Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb {(A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721)} · CPC title

• A61B5/721

  using a separate sensor to detect motion or using motion information derived from signals other than the physiological signal to be measured · CPC title

• A61B5/7264

  Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems · CPC title