Automated Detection of Activity Transitions for Prompting

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Cite
Feuz, Kyle D., et al. “Automated Detection of Activity Transitions for Prompting”. IEEE Transactions on Human-Machine Systems, vol. 45, no. 5, 2015, pp. 575-8, https://doi.org/10.1109/thms.2014.2362529.
Feuz, K. D., Cook, D. J., Rosasco, C., Robertson, K., & Schmitter-Edgecombe, M. (2015). Automated Detection of Activity Transitions for Prompting. IEEE Transactions on Human-Machine Systems, 45(5), 575-585. https://doi.org/10.1109/thms.2014.2362529
Feuz, Kyle D., Diane J. Cook, Cody Rosasco, Kayela Robertson, and Maureen Schmitter-Edgecombe. “Automated Detection of Activity Transitions for Prompting”. IEEE Transactions on Human-Machine Systems 45, no. 5 (2015): 575-85. https://doi.org/10.1109/thms.2014.2362529.
Feuz KD, Cook DJ, Rosasco C, Robertson K, Schmitter-Edgecombe M. Automated Detection of Activity Transitions for Prompting. IEEE Transactions on Human-Machine Systems. 2015;45(5):575-8.
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Citations
Title Journal Journal Categories Citations Publication Date
Applying Grey Relational Analysis to Detect Change Points in Time Series

Journal of Mathematics
  • Science: Mathematics
  • Science: Mathematics
1 2022
Opportunity++: A Multimodal Dataset for Video- and Wearable, Object and Ambient Sensors-Based Human Activity Recognition Frontiers in Computer Science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
6 2021
An Activity Recognition-Assistance Algorithm Based on Hybrid Semantic Model in Smart Home

2 2016
Citations Analysis
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled An Activity Recognition-Assistance Algorithm Based on Hybrid Semantic Model in Smart Home and was published in 2016. The most recent citation comes from a 2022 study titled Applying Grey Relational Analysis to Detect Change Points in Time Series. This article reached its peak citation in 2022, with 1 citations. It has been cited in 2 different journals, 100% of which are open access. Among related journals, the Journal of Mathematics cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year