Art
J-GLOBAL ID:202002220916152502
Reference number:20A1195875
Proposal and it’s Implementation of Behavioral Recognition in Indoor Environment using Composite Sensor
複合センサを用いた屋内環境における行動認識に関する提案と実装
Author (4):
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Material:
Volume:
2020
Issue:
ITS-81
Page:
Vol.2020-ITS-81,No.2,1-8 (WEB ONLY)
Publication year:
May. 21, 2020
JST Material Number:
U0451A
Document type:
Proceedings
Article type:
原著論文
Country of issue:
Japan (JPN)
Language:
JAPANESE (JA)
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Semi thesaurus term:
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
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JST classification (2):
JST classification
Category name(code) classified by JST.
Artificial intelligence
, Measuring instruments in general
Reference (16):
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Laput, G., Zhang, Y. and Harrison, C.: Synthetic sensors: Towards general-purpose sensing,Proc. CHI 17, pp.3986-3999, ACM(2017).
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Jalal, A., Kamal, S. and Kim, D.: A depth video sensor-based life-logging human activity recognition system for elderly care in smart indoor environments, Sensors, Vol.14, No.7, pp.11735-11759 (2014).
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Castro, D., Hickson, S., Bettadapura, V., Thomaz, E., Abowd, G., Christensen, H., Essa, I.: Predicting daily activities from egocentric images using deep learning. proceedings of the 2015 ACM International symposium on Wearable Computers pp.75-82, ACM(2015).
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Shoaib, M., Bosch, S., Incel, O., Scholten, H., Havinga, P.: A survey of online activity recognition using mobile phones, Sensors, Vol.15, No.1, pp.2059-2085 (2015).
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Lu, Y., Wei, Y., Liu, L., Zhong, J., Sun, L., Liu, Y.: Towards unsupervised physical activity recognition using smartphone accelerometers, Multimedia Tools and Applications, Vol.76, No.8, pp.10701-10719 (2017).
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