@inproceedings{3de52301d74541d091664e44f027dab4,
title = "Accelerating gesture recognition algorithm using coarse grained reconfigurable architectures",
abstract = "The gesture recognition algorithms have been widely used to realize the human-computer interaction in multimedia applications, but still have limitation of integration due to the computation overhead. For this reason, this paper proposes an acceleration method for the hand gesture recognition algorithm using CGRA. The proposed algorithm enables software pipelining and vectorization for the SRP architecture, which exploits both the instruction level parallelism and data level parallelism. Therefore, the proposed optimization method improves the utilization of the hardware resources in SRP and effectively accelerates the performance of the gesture recognition algorithm, achieving maximum speedup of 10.97.",
author = "Minsik Kim and Deokho Kim and Minyong Sung and Wonjae Lee and Jaehyun Kim and Ro, {Won Woo}",
year = "2015",
month = jan,
day = "13",
doi = "10.1109/ICALIP.2014.7009926",
language = "English",
series = "ICALIP 2014 - 2014 International Conference on Audio, Language and Image Processing, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "906--910",
editor = "Wanggen Wan and Fa-Long Luo and Xiaoqing Yu",
booktitle = "ICALIP 2014 - 2014 International Conference on Audio, Language and Image Processing, Proceedings",
address = "United States",
note = "4th International Conference on Audio, Language and Image Processing, ICALIP 2014 ; Conference date: 07-07-2014 Through 09-07-2014",
}