[1] |
LIU L J , LEI X L , CHEN B F ,et al. Human action recognition based on inertial sensors and complexity classification[J]. Journal of Information Technology Research, 2019: 18-35.
|
[2] |
周启臻, 邢建春, 杨启亮 ,等. 基于连续图像深度学习的 Wi-Fi人体行为识别方法[J]. 通信学报, 2020,41(8): 43-54.
|
|
ZHOU Q Z , XING J C , HAN Q L ,et al. Sequential image deep learning-based Wi-Fi human activity recognition method[J]. Journal on Communications, 2020,41(8): 43-54.
|
[3] |
钱慧芳, 易剑平, 付云虎 . 基于深度学习的人体动作识别综述[J]. 计算机科学与探索, 2021(1): 1-20.
|
|
QIAN H F , YI J P , FU Y H . Human action recognition based on deep learning:a review[J]. Journal of Frontiers of Computer Science & Technology, 2021(1): 1-20.
|
[4] |
张会珍, 刘云麟, 任伟建 ,等. 人体行为识别特征提取方法综述[J]. 吉林大学学报(信息科学版), 2020,38(3): 360-370.
|
|
ZHANG H J , LIU Y L , REN J W ,et al. Human behavior recognition feature extraction method:a survey[J]. Journal of Jilin University (Information Science Edition), 2020,38(3): 360-370.
|
[5] |
邹建 . 基于BP神经网络的人体行为识别[J]. 网络与信息安全学报, 2017,3(9): 55-60.
|
|
ZOU J . Human action recognition based on back propagation neural network[J]. Chinese Journal of Network and Information Security, 2017,3(9): 55-60.
|
[6] |
WANG Y J , WU K S , LIONEL M N . WiFall:device-free fall detection by wireless networks[J]. IEEE Transactions on Mobile Computing, 2017,16(2): 581-594
|
[7] |
肖玲, 潘浩 . 基于Wi-Fi信号的人体动作识别系统[J]. 北京邮电大学学报, 2018,41(3): 119-124.
|
|
XIAO L , PAN H . Human activity recognition system based on Wi-Fi signal[J]. Journal of Beijing University of Posts and Telecommunications, 2018,41(3): 119-124.
|
[8] |
CAO S M , YANG P L , LI X Y ,et al. iPand:accurate gesture input with smart acoustic sensing on hand[C]// 15th Annual IEEE International Conference on Sensing,Communication,and Networking(SECON). 2018.
|
[9] |
LIU Y T , ZHANG Y A , ZENG M . Novel algorithm for hand gesture recognition utilizing a wrist-worn inertial sensor[J]. IEEE Sensors Journal, 2018,18(24): 10085-10095.
|
[10] |
殷晓玲, 陈晓江, 夏启寿 ,等. 基于智能手机内置传感器的人体运动状态识别[J]. 通信学报, 2019,40(3): 161-173.
|
|
YING X L , CHEN X J , XIA Q S ,et al. Human motion state recognition based on smart phone built-in sensor[J]. Journal on Communications, 2019,40(3): 161-173.
|
[11] |
WANG Y , CANG H N , YU H N . A survey on wearable sensor modality centred human activity recognition in health care[J]. Expert Systems with Applications, 2019,137: 167-190.
|
[12] |
ALEJANDRO B , YAGO S , PEDRO I . Evolutionary design of convolutional neural networks for human activity recognition in sensor-rich environments[J]. Sensors, 2018,18(4): 1288-1312
|
[13] |
张儒鹏, 于亚新, 张康 ,等. 基于 OI-LSTM 神经网络结构的人类动作识别模型研究[J]. 计算机科学与探索, 2018,12(12): 1926-1939.
|
|
ZHANG R P , YU Y X , ZHANG K ,et al. Research on human action recognition model based on OI-LSTM neural network structure[J]. Journal of Frontiers of Computer Science & Technology, 2018,12(12): 1926-1939.
|
[14] |
韩嵩, 韩秋弘 . 半监督学习研究的述评[J]. 计算机工程与应用, 2020(6): 19-27.
|
|
HAN S , HAN Q H . Review of semi-supervised learning research[J]. Computer Engineering and Applications, 2020(6): 19-27.
|
[15] |
尹玉, 詹永照, 姜震 . 伪标签置信选择的半监督集成学习视频语义检测[J]. 计算机应用, 2019,39(8): 2204-2209.
|
|
YIN Y , ZHAN Y Z , JIANG Z ,et al. Semi-supervised ensemble learning for video semantic detection based on pseudo-label confidence selection[J]. Journal of Computer Applications, 2019,39(8): 2204-2209.
|
[16] |
GUO L K , QI M , FINLEY T ,et al. LightGBM:a highly efficient gradient boosting decision tree[C]// Advances in Neural Information Processing Systems(NIPS). 2017: 3146-3154.
|
[17] |
ANGUITA D , GHIO A , ONETO L ,et al. A public domain dataset for human activity recognition using smartphones[C]// European Symposium on Artificial Neural Networks,Computational Intelligence and Machine Learning (ESANN). 2013.
|
[18] |
ROSENBERG C , HEBERT M , SCHNEIDERMAN H . Semi-supervised self-training of object detection models[C]// IEEE Workshops on Applications of Computer Vision (WACV). 2005: 29-36.
|
[19] |
ZHOU Z H , LI M . Semisupervised regression with co-trainingstyle algorithms[J]. IEEE Transactions on Knowledge and Data Engineering, 2007: 1479-1493.
|