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Fall Detection Based on KPCA and 3D KPCA
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In this paper, we propose an approach to distinguish falls and normal activities of daily living (ADL). A novel method 3D Kernel Principal Component Analysis ( ...
Fall Detection Based on KPCA and 3D KPCA
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由 H Wang 著作2016被引用 1 次 — The fall detection based on KPCA and 3D KPCA algorithm for feature extraction is firstly proposed in this paper and the experiment conducted on the public ...
Fall Detection Based on KPCA and 3D KPCA | Request PDF
ResearchGate
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During the fall of 2013, a study was conducted where students completed the PSVT:R and the MCT and then were asked to complete three different modeling tasks.
Peilin Zang
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Hui Wang, Xiaohe Chen, Xinjian Chen , Peilin Zang, Yunqing Liu, Lirong Wang: Fall Detection Based on KPCA and 3D KPCA. Trustcom/BigDataSE/ISPA 2016: 2187- ...
2016 IEEE Trustcom/BigDataSE/ISPA
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Fall Detection Based on KPCA and 3D KPCA · Hui Wang, Xiaohe Chen ... A novel method 3D Kernel Principal Component Analysis (3D KPCA) to ...
An Approach Based on Statistical Features to Fall Detection
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本文提出了一种基于统计特征的方法来区分跌倒和日常生活中的正常活动(ADL)。值得一提的是,内核主成分分析(KPCA)首先用于从加速度的原始3D数据中提取统计特征,我们不 ...
KPCA-Based Under-Sampling Algorithm for Unbalanced Data
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Fall Detection Based on KPCA and 3D KPCA. August 2016. Hui Wang · Xiaohe Chen · Xinjian Chen; [...] Lirong Wang · Read more. Last Updated: 15 Sep 2024.
An Approach Based on Statistical Features to Fall Detection
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A approach based on statistical features was proposed to distinguish falls and normal activities of daily living(ADL) in this paper. What is worth mentioning is ...
Semi-Supervised KPCA-Based Monitoring Techniques for ...
National Institutes of Health (NIH) (.gov)
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National Institutes of Health (NIH) (.gov)
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由 F Harrou 著作2023被引用 2 次 — This study introduces a new method for identifying COVID-19 infections using blood test data as part of an anomaly detection problem
A Smart Device Enabled System for Autonomous Fall ...
Sage Journals
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A smart device enabled system for fall detection and alert, which is composed of a wearable motion sensor board and a smart phone.