Home Activity Recognition by Sounds of Daily Life Using Improved Feature Extraction Method-Reference-Cited by-同舟云学术

Home Activity Recognition by Sounds of Daily Life Using Improved Feature Extraction Method

Published:2023-04-01 Issue:4 Volume:E106.D Page:450-458
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

PAPEL João Filipe¹,MUNAKA Tatsuji¹

Affiliation:

1. Tokai University - Takanawa Campus

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E106.D/4/E106.D_2022IIP0004/_pdf

Reference24 articles.

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2. [2] R. Ishii, “Research on behavior sensing sensor system for early detection of dementia,” IPSJ Annual conference no.78, 2016.

3. [3] W. Sasaki, “Activity Recognition by Time Series Data Analysis of ECHONET Lite Compatible Home Appliances and Human Sensors,” SIG-SAI-031, 2018.

4. [4] Health Japan 21 (General), https://www.mhlw.go.jp/www1/topics/kenko21_11/s1.html (Last viewed, Dec. 18, 2020).

5. [5] What is Activities of Daily Life (ADL), https://www.tyojyu.or.jp/net/kenkou-tyoju/kenkou-undou/jiritu.html (Last viewed Dec. 18, 2020).

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