Junhao Zhao, Basem Suleiman, Muhammad Johan Alibasa. Feature Encoding by Location-Enhanced Word2Vec Embedding for Human Activity Recognition in Smart Homes. In Longfei Shangguan, Bodhi Priyantha, editors, Mobile and Ubiquitous Systems: Computing, Networking and Services - 19th EAI International Conference, MobiQuitous 2022, Pittsburgh, PA, USA, November 14-17, 2022, Proceedings. Volume 492 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, pages 191-202, Springer, 2022. [doi]
@inproceedings{ZhaoSA22-3, title = {Feature Encoding by Location-Enhanced Word2Vec Embedding for Human Activity Recognition in Smart Homes}, author = {Junhao Zhao and Basem Suleiman and Muhammad Johan Alibasa}, year = {2022}, doi = {10.1007/978-3-031-34776-4_11}, url = {https://doi.org/10.1007/978-3-031-34776-4_11}, researchr = {https://researchr.org/publication/ZhaoSA22-3}, cites = {0}, citedby = {0}, pages = {191-202}, booktitle = {Mobile and Ubiquitous Systems: Computing, Networking and Services - 19th EAI International Conference, MobiQuitous 2022, Pittsburgh, PA, USA, November 14-17, 2022, Proceedings}, editor = {Longfei Shangguan and Bodhi Priyantha}, volume = {492}, series = {Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering}, publisher = {Springer}, isbn = {978-3-031-34776-4}, }