IP Library › Granted Patent US 12,033,758
Granted Patent B2
US 12,033,758 · App. 18/232,356 · Granted Jul 9, 2024

Information processing apparatus and non-transitory computer readable medium

Inventors: Motofumi Baba (Kanagawa, JP); Masahiro Sato (Kanagawa, JP); Kengo Tokuchi (Kanagawa, JP); Kiichiro Arikawa (Kanagawa, JP); Monta Ido (Kanagawa, JP); Kosuke Aoki (Kanagawa, JP); Tadashi Suto (Kanagawa, JP); Tsutomu Kimura (Kanagawa, JP); Hanako Kariya (Kanagawa, JP)
Assignee: Agama-X Co., Ltd.
G16H50/30G06N5/022G16H50/70
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Quick Facts
Patent No.
US 12,033,758
App. No.
18/232,356
Granted
Jul 9, 2024
Kind
B2
Abstract

An information processing apparatus includes a processor configured to acquire biological information of plural users determined to be within a predetermined area and operate an apparatus based on the biological information of the plural users.

Claims (21)

1. An information processing method comprising:

by a processor:

acquiring biological information of at least one user;

sending, to an artificial intelligence, biological information of the at least one user and context information indicating contexts under which measurements of the biological information at respective points in time are made; and

outputting a content of a determination made by the artificial intelligence based on the biological information and the context information.

2. The information processing method according to claim 1 , wherein the biological information is classified according to a plurality of time series, and the artificial intelligence makes the determination based on analyzing the biological information for each of the time series.

3. The information processing method according to claim 2 , wherein the biological information that is classified according to each time series is assigned a weight depending on a context that the user is in and the artificial intelligence makes the determination based on the assigned weight.

4. The information processing method according to claim 1 , wherein the context information is classified according to a plurality of time series, and the artificial intelligence makes the determination based on analyzing the biological information for each of the time series.

5. The information processing method according to claim 1 , wherein the content of the determination is sent to a device that is disposed in an environment in which the at least one user is located.

6. The information processing method according to claim 1 , the biological information includes a frequency spectrum of a bioelectrical potential measured from the at least one user.

7. The information processing method according to claim 1 , wherein:

the processor is included in an audible device comprising a biological information measuring device, a sound input-output device, and a memory; and

the method further comprising:

by a processor, outputting the content of the determination made by the artificial intelligence to the at least one user via the sound input-output device, acquiring a response of the at least one user, and storing the response in the memory.

8. The information processing method according to claim 1 , wherein the content of the determination is an instruction to a device that performs an intervention to the at least on user.

9. The information processing method according to claim 8 , further comprising, before executing the instruction to the device that performs the intervention to the at least one user, selecting a first mode in which a response is acquired from the at least one user, or a second mode in which the intervention is automatically performed by the artificial intelligence.

10. An information processing device comprising a processor, wherein

the processor is configured to:

acquire biological information of at least one user;

send, to an artificial intelligence, biological information of the at least one user and context information indicating contexts under which measurements of the biological information at respective points in time are made; and

output a content of a determination made by the artificial intelligence based on the biological information and the context information.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 13, 2023
From: BABA, MOTOFUMI; SATO, MASAHIRO; TOKUCHI, KENGO; ARIKAWA, KIICHIRO; IDO, MONTA; AOKI, KOSUKE; SUTO, TADASHI; KIMURA, TSUTOMU; KARIYA, HANAKO
To: FUJI XEROX CO. LTD.
Reel/Frame 064573/0215 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 13, 2023
From: FUJI XEROX CO. LTD.
To: AGAMA-X CO., LTD.
Reel/Frame 064573/0225 →
Priority Claims (1)
JP 2020-166688 · Oct 1, 2020 · national
Continuity (3)
Continuation 17707999 · Mar 30, 2022
Continuation In Part 17131683 · Dec 22, 2020
Related Publication 20230386674A1 · Nov 30, 2023