Multi-input 1-dimensional deep belief network: action and activity recognition as case study-Reference-Cited by-同舟云学术

Multi-input 1-dimensional deep belief network: action and activity recognition as case study

Published:2019-01-12 Issue:13 Volume:78 Page:17739-17761
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Nickfarjam Ali Mohammad,Ebrahimpour-Komleh Hossein

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/content/pdf/10.1007/s11042-018-7076-0.pdf

Reference65 articles.

1. Access time: December 2, 2017. Available on: www.nada.kth.se/cvap/actions

2. Access time: December 2, 2017. Available on: serre-lab.clps.brown.edu/resource/hmdb-a-large-human-motion-database

3. Access time: July 4, 2018. Available on: https://archive.ics.uci.edu/ml/machine-learning-databases/00240

4. Access time: July 4, 2018. Available on: http://www.ife.ee.ethz.ch/research/activity-recognition-datasets.html

5. Alsheikh MA, Selim A, Niyato D, Doyle L, Lin S, Tan HP (2016) Deep activity recognition models with triaxial accelerometers/ AAAI Workshop: Artificial Intelligence Applied to Assistive Technologies and Smart Environments

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