Volume 8, Issue 1, December 2019, Pages 16 - 24
Toward Affordable and Practical Home Context Recognition: –Framework and Implementation with Image-based Cognitive API–
Authors
Sinan Chen1, *, Sachio Saiki1, Masahide Nakamura1, 2
1Graduate School of System Informatics, Kobe University, 1-1 Rokkodai-cho, Nada, Kobe, 657-0011, Japan
2RIKEN Center for Advanced Intelligence Project, 1-4-1 Nihonbashi, Chuo-ku, Tokyo, 103-0027, Japan
*Corresponding author. Email: chensinan@ws.cs.kobe-u.ac.jp
Corresponding Author
Sinan Chen
Received 23 April 2019, Accepted 20 May 2019, Available Online 29 November 2019.
- DOI
- 10.2991/ijndc.k.191118.001How to use a DOI?
- Keywords
- Context recognition; image; cognitive APIs; machine learning; smart home
- Abstract
To provide affordable context recognition for general households, this paper presents a novel technique that integrate image-based cognitive Application Program Interface (API) and light-weight machine learning. Our key idea is to regard every image as a document by exploiting “tags” derived by the API. We first present a framework that specifies a common workflow of the machine-learning-based home context recognition. We then propose a pragmatic method that implements the framework using the “image-as-a-document” approach.
- Copyright
- © 2019 The Authors. Published by Atlantis Press SARL.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
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TY - JOUR AU - Sinan Chen AU - Sachio Saiki AU - Masahide Nakamura PY - 2019 DA - 2019/11/29 TI - Toward Affordable and Practical Home Context Recognition: –Framework and Implementation with Image-based Cognitive API– JO - International Journal of Networked and Distributed Computing SP - 16 EP - 24 VL - 8 IS - 1 SN - 2211-7946 UR - https://doi.org/10.2991/ijndc.k.191118.001 DO - 10.2991/ijndc.k.191118.001 ID - Chen2019 ER -