講演抄録/キーワード |
講演名 |
2017-11-15 16:30
[ポスター講演]Implementation of Recognizing Indoor Activities Using Cloud Service for Machine Learning ○Kazunari Tamamizu・Seiji Sakakibara・Sachio Saiki・Masahide Nakamura(Kobe University)・Kiyoshi Yasuda(Chiba Rosai Hospital) IA2017-41 |
抄録 |
(和) |
(まだ登録されていません) |
(英) |
Online changing point detection of activities is needed to achieve automatically monitoring service for home elderly. In the previous study, we proposed the system that captures activities of the elderly using speech dialog by Virtual Agent based on environmental changes. Specifically, in this paper, we focus on auto activity recognition using machine learning on the proposed system and implement this subsystem using machine learning service on the cloud. Also, we collect sensor data and activity logs and execute machine learning to evaluate Auto Recognition accuracy. |
キーワード |
(和) |
/ / / / / / / |
(英) |
elderly care / home care / machine learning / activity recognition / cloud service / / / |
文献情報 |
信学技報, vol. 117, no. 299, IA2017-41, pp. 49-52, 2017年11月. |
資料番号 |
IA2017-41 |
発行日 |
2017-11-08 (IA) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
IA2017-41 |
|