Detecting facial expressions
US-2018107275-A1 · Apr 19, 2018 · US
US12169929B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12169929-B2 |
| Application number | US-202017430869-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jan 10, 2020 |
| Priority date | Feb 22, 2019 |
| Publication date | Dec 17, 2024 |
| Grant date | Dec 17, 2024 |
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A configuration that analyzes reflection light of light emitted to a user face and executes both facial-expression analysis and biometric-signal analysis together is realized. The configuration has a light-receiving section that receives reflection light of light emitted to a user face, and a light-reception-signal analyzing section that analyzes a light-reception signal of the light-receiving section. The light-reception-signal analyzing section has a facial-expression analyzing section that analyzes user-skin-surface reflection light and generates facial-expression analysis information, and a biometric-signal analyzing section that analyzes subepidermal reflection light and generates bioanalysis information. The light-reception signal of the light-receiving section includes skin-surface reflection light and subepidermal-tissue reflection light, and the facial-expression analyzing section extracts a low frequency component from the light-reception signal, acquires the skin-surface reflection light, and executes facial-expression analysis. The biometric-signal analyzing section extracts a high frequency component from the light-reception signal, acquires the subepidermal-tissue reflection light, and executes a biometric-signal analysis process.
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The invention claimed is: 1. An information processing apparatus, comprising: a light-emitting section configured to emit light to a user face; a light-receiving section configured to: receive first reflection light based on the light emitted to the user face; and output a light-reception signal based on the received first reflection light; and a light-reception-signal analyzing section configured to analyze the light-reception signal of the light-receiving section, wherein the light-reception-signal analyzing section includes: a facial-expression analyzing section configured to generate facial-expression analysis information based on the first reflection light; and a biometric-signal analyzing section configured to: extract a high frequency component from the light-reception signal of the light-receiving section; acquire subepidermal-tissue reflection light based on the high frequency component; execute a biometric-signal analysis process based on the subepidermal-tissue reflection light; and generate first bioanalysis information based on the biometric-signal analysis process. 2. The information processing apparatus according to claim 1 , wherein the light-reception signal of the light-receiving section includes skin-surface reflection light and the subepidermal-tissue reflection light, the facial-expression analyzing section is further configured to: extract a low frequency component from the light-reception signal of the light-receiving section, acquire the skin-surface reflection light based on the extracted low frequency component, and execute facial-expression analysis process based on the acquired skin-surface reflection light. 3. The information processing apparatus according to claim 1 , wherein the facial-expression analyzing section includes a facial-expression analysis information storage section, the facial-expression analysis information storage section is configured to store a learning model, and the facial-expression analyzing section is further configured to execute a facial-expression analysis process based on the stored learning model. 4. The information processing apparatus according to claim 3 , wherein the learning model includes corresponding data of facial-expression labels and feature data of skin-surface reflection-light signals, the skin-surface reflection-light signals are associated with skin-surface movements, and the facial-expression labels correspond to a plurality of different facial expressions. 5. The information processing apparatus according to claim 1 , wherein the biometric-signal analyzing section includes a biometric-signal analysis information storage section, the biometric-signal analysis information storage section is configured to store a learning model, and the biometric-signal analyzing section is further configured to execute a bioanalysis process based on the stored learning model. 6. The information processing apparatus according to claim 5 , wherein the learning model includes corresponding data of feature data of subepidermal reflection-light signals, the subepidermal reflection-light signals correspond to a plurality of different biological states, and the feature data of the subepidermal reflection-light signals reflect subepidermal states. 7. The information processing apparatus according to claim 1 , wherein the generated first bioanalysis information includes least one of a blood flow rate, a blood flow speed, a pulse wave, a blood pressure, a heart rate, a heart rate fluctuation, a blood oxygen concentration, or arterial oxygen saturation. 8. The information processing apparatus according to claim 1 , wherein the light-receiving section includes a plurality of sensors, and each of the plurality of sensors is attached at a respective position of a plurality of positions of a head-mounted display. 9. The information processing apparatus according to claim 1 , wherein the light-reception-signal analyzing section is further configured to execute analysis of second reflection light from a plurality of different positions on the user face. 10. The information processing apparatus according to claim 1 , wherein the light-reception-signal analyzing section is further configured to: execute analysis of second reflection light from a plurality of different positions on the user face; and acquire different pieces of second bioanalysis information corresponding to the plurality of different positions. 11. The information processing apparatus according to claim 1 , wherein the light-reception-signal analyzing section is further configured to: execute analysis of second reflection light from a plurality of different positions on the user face; and acquire second bioanalysis information by complementarily using information acquired from the plurality of different positions. 12. The information processing apparatus according to claim 1 , further comprising: a high-precision affect analyzing section configured to: receive a first input and a second input, wherein the first input includes the facial-expression analysis information and the second input includes the first bioanalysis information; and generate high-precision affect information based on the facial-expression analysis information and the first bioanalysis information. 13. The information processing apparatus according to claim 12 , wherein the high-precision affect analyzing section includes a high-precision affect analysis information storage section, the high-precision affect analysis information storage section is configured to store a learning model, and the high-precision affect analyzing section is further configured to execute an affect analysis process based on the stored learning model. 14. The information processing apparatus according to claim 13 , wherein the learning model is a model in which feature data that corresponds to a plurality of different affect states is associated, and the feature data includes feature data of facial-expression information and feature data of bioinformation. 15. The information processing apparatus according to claim 12 , further comprising a game control section configured to execute game control based on the high-precision affect information. 16. The information processing apparatus according to claim 12 , further comprising a facial-expression authenticity determining section configured to execute facial-expression authenticity determination based on the high-precision affect information. 17. The information processing apparatus according to claim 1 , further comprising an avatar control section configured to execute avatar control based on the facial-expression analysis information and the first bioanalysis information. 18. An information processing method, comprising: emitting, by a light-emitting section, light to a user face; receiving, by a light-receiving section, reflection light based on the light emitted to the user face; outputting, by the light-receiving section, a light-reception signal based on the received reflection light; analyzing, by a light-reception-signal analyzing section, the light-reception signal of the light-receiving section, wherein the light-reception-signal analyzing section includes a facial-expression analyzing section and a biometric-signal analyzing section; executing, by the facial-expression analyzing section, a facial-expression analysis process to generate facial-expression analysis information, wherein the facial-expression analysis information is generated based on the reflection l
comprising photodetecting means, e.g. a camera · CPC title
Feature extraction; Face representation · CPC title
Facial expression recognition · CPC title
comprising photodetecting means, e.g. cameras, photodiodes or infrared cells (A63F13/219 takes precedence) · CPC title
using acquisition arrangements · CPC title
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