%0 Conference Paper %1 han2019twohanded %A Han, Xiao %A Xue, Jiayin %A Zhang, Qinyu %A Xiao, Qiao %A Zhao, Peng %B Communications, Signal Processing, and Systems %C Singapore %D 2019 %E Liang, Qilian %E Mu, Jiasong %E Jia, Min %E Wang, Wei %E Feng, Xuhong %E Zhang, Baoju %E device · Two-handed gesture recognitionLinked list of bound · DTW, Mobile %I Springer %K dtw dynamic-time-warping linked-list-of-bound mobile-device real two-handed-gesture-recognition %P 1429-1436 %R 10.1007/978-981-10-6571-2_172 %T A Two-Handed Gesture Recognition Technique on Mobile Devices Based on Improved DTW Algorithm %U https://doi.org/10.1007/978-981-10-6571-2_172 %X The majority of traditional gesture recognition relies on cameras, easily affected by environmental noises. Moreover, most of them are one-handed gestures, whose identifying speed and accuracy are limited. Therefore, this paper proposed a two-handed gesture recognition technology based on improved dynamic time warping (DTW) algorithm and common mobile devices. The data are collected by common carry on mobile communication devices instead of wearable devices. By constructing boundary linked list, traditional DTW algorithm is optimized, so we realized two-handed gesture trajectory recognition. The results show that, under the prerequisite of guaranteeing accuracy, the method can considerably reduce the algorithm's computation complexity, and effectively improve the speed of recognition. %@ 978-981-10-6571-2

@inproceedings{han2019twohanded, abstract = {The majority of traditional gesture recognition relies on cameras, easily affected by environmental noises. Moreover, most of them are one-handed gestures, whose identifying speed and accuracy are limited. Therefore, this paper proposed a two-handed gesture recognition technology based on improved dynamic time warping (DTW) algorithm and common mobile devices. The data are collected by common carry on mobile communication devices instead of wearable devices. By constructing boundary linked list, traditional DTW algorithm is optimized, so we realized two-handed gesture trajectory recognition. The results show that, under the prerequisite of guaranteeing accuracy, the method can considerably reduce the algorithm's computation complexity, and effectively improve the speed of recognition.}, added-at = {2019-11-14T05:06:32.000+0100}, address = {Singapore}, author = {Han, Xiao and Xue, Jiayin and Zhang, Qinyu and Xiao, Qiao and Zhao, Peng}, biburl = {https://www.bibsonomy.org/bibtex/2b963b2bd5c03d94bd39865714fec8795/jpmor}, booktitle = {Communications, Signal Processing, and Systems}, day = 07, doi = {10.1007/978-981-10-6571-2_172}, editor = {Liang, Qilian and Mu, Jiasong and Jia, Min and Wang, Wei and Feng, Xuhong and Zhang, Baoju and device · Two-handed gesture recognitionLinked list of bound · DTW, Mobile}, eventdate = {2017}, eventtitle = {International Conference in Communications, Signal Processing, and Systems}, interhash = {40b2dd04a414d567c960c036ac86796b}, intrahash = {b963b2bd5c03d94bd39865714fec8795}, isbn = {978-981-10-6571-2}, keywords = {dtw dynamic-time-warping linked-list-of-bound mobile-device real two-handed-gesture-recognition}, language = {English}, month = {06}, pages = {1429-1436}, publisher = {Springer}, school = {Harbin Institute of Technology (HIT)}, timestamp = {2020-10-07T13:36:50.000+0200}, title = {A Two-Handed Gesture Recognition Technique on Mobile Devices Based on Improved DTW Algorithm}, url = {https://doi.org/10.1007/978-981-10-6571-2_172}, year = 2019 }