PSYCHOLOGICAL STATE ANALYSIS METHOD, PSYCHOLOGICAL STATE ANALYSIS APPARATUS AND PROGRAM
It is possible to improve the accuracy of estimation of a psychological state of a person by causing a computer to execute calculating probabilities of a plurality of mood transitions based on first time-series data on a mood of a first person in a first period, calculating average persistence times of the plurality of mood transitions based on the first time-series data, and performing learning of a neural network that estimates a psychological state of a person based on a vector including the probabilities of the plurality of mood transitions and a vector including the average persistence times of the plurality of mood transitions, based on the probability calculated for each of the plurality of mood transitions, the average persistence time calculated for each of the plurality of mood transitions, and data indicating, per time interval, the psychological state of the first person in the time interval that is obtained by dividing the first period into a plurality of parts..
| Medienart: |
|
|---|
Patent| Erscheinungsjahr: |
2023 |
|---|---|
| Erschienen: |
2023 |
| Enthalten in: |
Europäisches Patentamt - (2023) vom: 22. Juni Zur Gesamtaufnahme - year:2023 |
|---|
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
YAMAMOTO SHUHEI [VerfasserIn] |
|---|
| Links: |
Volltext [kostenfrei] |
|---|
| Anmerkungen: |
Source: www.epo.org (no modifications made), First posted: 2023-06-22, Last update posted on www.tib.eu: 2024-04-10, Last updated: 2024-04-19 |
|---|
| Patentnummer: |
US2023197279 |
|---|
| Förderinstitution / Projekttitel: |
|
|---|
| PPN (Katalog-ID): |
EPA001935232 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | EPA001935232 | ||
| 003 | DE-627 | ||
| 005 | 20240419122057.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 240327s2023 xx |||||o 00| ||eng c | ||
| 035 | |a (DE-627)EPA001935232 | ||
| 035 | |a (EPA)US2023197279 | ||
| 035 | |a (EPA)78723098 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 0 | |a YAMAMOTO SHUHEI |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a PSYCHOLOGICAL STATE ANALYSIS METHOD, PSYCHOLOGICAL STATE ANALYSIS APPARATUS AND PROGRAM |
| 264 | 1 | |c 2023 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Source: www.epo.org (no modifications made), First posted: 2023-06-22, Last update posted on www.tib.eu: 2024-04-10, Last updated: 2024-04-19 | ||
| 520 | |a It is possible to improve the accuracy of estimation of a psychological state of a person by causing a computer to execute calculating probabilities of a plurality of mood transitions based on first time-series data on a mood of a first person in a first period, calculating average persistence times of the plurality of mood transitions based on the first time-series data, and performing learning of a neural network that estimates a psychological state of a person based on a vector including the probabilities of the plurality of mood transitions and a vector including the average persistence times of the plurality of mood transitions, based on the probability calculated for each of the plurality of mood transitions, the average persistence time calculated for each of the plurality of mood transitions, and data indicating, per time interval, the psychological state of the first person in the time interval that is obtained by dividing the first period into a plurality of parts. | ||
| 650 | 4 | |a G06N: Computer systems based on specific computational models | |
| 650 | 4 | |a G16H: Healthcare informatics, i.e. information and communication technology [ict] specially adapted for the handling or processing of medical or healthcare data | |
| 650 | 4 | |a inf | |
| 650 | 4 | |a A61B: Diagnosis; surgery; identification (analysing biological material g01n, e.g. g01n0033480000) | |
| 650 | 4 | |a med | |
| 650 | 4 | |a 615 | |
| 700 | 0 | |a TODA HIROYUKI |e verfasserin |4 aut | |
| 700 | 0 | |a KURASHIMA TAKESHI |e verfasserin |4 aut | |
| 700 | 0 | |a TOMINAGA TOMU |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Europäisches Patentamt |g (2023) vom: 22. Juni |
| 773 | 1 | 8 | |g year:2023 |g day:22 |g month:06 |
| 856 | 4 | 0 | |u https://worldwide.espacenet.com/patent/search/family/78723098/publication/US2023197279A1?q=US2023197279 |x 0 |z kostenfrei |3 Volltext |
| 912 | |a GBV_EPA | ||
| 951 | |a AR | ||
| 952 | |j 2023 |b 22 |c 06 | ||