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A Quantitative Comparison of Overlapping and Non-Overlapping Sliding Windows for Human Activity Recognition Using Inertial Sensors

机译：使用惯性传感器对人类活动识别重叠和非重叠滑动窗的定量比较

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Akbar Dehghani; Omid Sarbishei; Tristan Glatard; Emad Shihab;
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1. Transition activity recognition using fuzzy logic and overlapped sliding window-based convolutional neural networks [J] . Kang Jaewoong, Kim Jongmo, Lee Seongil, Journal of supercomputing . 2020,第10期

机译：使用模糊逻辑和基于滑动窗口的卷积神经网络的过渡活动识别
2. Impact of Sliding Window Length in Indoor Human Motion Modes and Pose Pattern Recognition Based on Smartphone Sensors [J] . Gaojing Wang, Qingquan Li, Lei Wang, Sensors . 2018,第6期

机译：滑动窗口长度对室内人体运动模式的影响及基于智能手机传感器的姿态模式识别
3. NOHAR - NOvelty discrete data stream for Human Activity Recognition based on smartphones with inertial sensors [J] . Lima Wesllen Sousa, Braganca Hendrio L. S., Souto Eduardo J. P. Expert systems with applications . 2021,第Mara期

机译：基于惯性传感器的智能手机的人类活动识别Nohar - 新颖的离散数据流
4. Human activity recognition using inertial sensors with invariance to sensor orientation [C] . Florentino-Liano Blanca, OMahony Niamh, Artes-Rodriguez Antonio Cognitive Information Processing (CIP), 2012 3rd International Workshop on . 2012

机译：使用惯性传感器对人类活动进行识别，而惯性传感器的传感器方向不变
5. 3D Human Gesture Tracking and Recognition by MEMS Inertial Sensor and Vision Sensor Fusion. [D] . Zhou, Shengli. 2013

机译：通过MEMS惯性传感器和视觉传感器融合进行3D手势跟踪和识别。
6. A Quantitative Comparison of Overlapping and Non-Overlapping Sliding Windows for Human Activity Recognition Using Inertial Sensors [O] . Akbar Dehghani, Omid Sarbishei, Tristan Glatard, 2019

机译：使用惯性传感器进行人类活动识别的重叠和非重叠滑动窗口的定量比较
7. HHARNet: Taking inspiration from Inception and Dense Networks for Human Activity Recognition using Inertial Sensors [O] . Hamza Ali Imran, Usama Latif 2021

机译：HHARNET：使用惯性传感器从初始和密集网络中获取灵感

A Quantitative Comparison of Overlapping and Non-Overlapping Sliding Windows for Human Activity Recognition Using Inertial Sensors

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