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Publication : sensors (14248220)

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Academic Journal

Seismic Signal Analysis Based on Variational Mode Decomposition and Hilbert Transform for Ground Intrusion Activity Classification.

Authors : Sun, Yuan¹ (AUTHOR); Qian, Dongdong¹ (AUTHOR); Zheng, Jing^1,2 (AUTHOR)

Source: Sensors (14248220). Apr2023, Vol. 23 Issue 7, p3674. 19p.

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Academic Journal

Wearable-Based Stair Climb Power Estimation and Activity Classification.

Authors : Psaltos, Dimitrios J.¹ (AUTHOR) ; Mamashli, Fahimeh¹ (AUTHOR); Adamusiak, Tomasz¹ (AUTHOR)

Source: Sensors (14248220). Sep2022, Vol. 22 Issue 17, p6600. 16p.

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Academic Journal

An Adaptive S-Method to Analyze Micro-Doppler Signals for Human Activity Classification.

Authors : Fangmin Li^1,2 ; Chao Yang¹ ; Yuqing Xia²

Source: Sensors (14248220). Dec2017, Vol. 17 Issue 12, p2769. 18p.

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Analysis of Optimal Sensor Positions for Activity Classification and Application on a Different Data Collection Scenario.

Authors : Natthapon Pannurat¹ ; Surapa Thiemjarus² ; Ekawit Nantajeewarawat¹

Source: Sensors (14248220). Apr2017, Vol. 17 Issue 4, p774. 16p.

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Performance Evaluation of State of the Art Systems for Physical Activity Classification of Older Subjects Using Inertial Sensors in a Real Life Scenario: A Benchmark Study.

Authors : Awais, Muhammad¹ ; Palmerini, Luca¹ ; Bourke, Alan K.²

Source: Sensors (14248220). Dec2016, Vol. 16 Issue 12, p2105. 15p.

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Feature Representation and Data Augmentation for Human Activity Classification Based on Wearable IMU Sensor Data Using a Deep LSTM Neural Network.

Authors : Odongo Steven Eyobu^1,2 (AUTHOR) ; Dong Seog Han¹ (AUTHOR)

Source: Sensors (14248220). Sep2018, Vol. 18 Issue 9, p2892. 26p. 10 Diagrams, 12 Charts, 8 Graphs.

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Improving Radar Human Activity Classification Using Synthetic Data with Image Transformation.

Authors : Hernangómez, Rodrigo¹ (AUTHOR) ; Visentin, Tristan¹ (AUTHOR) ; Servadei, Lorenzo^2,3 (AUTHOR)

Source: Sensors (14248220). Feb2022, Vol. 22 Issue 4, pN.PAG-N.PAG. 1p.

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Productivity Measurement through IMU-Based Detailed Activity Recognition Using Machine Learning: A Case Study of Masonry Work.

Authors : Hong, Sungkook¹ (AUTHOR) ; Ham, Youngjib² (AUTHOR) ; Chun, Jaeyoul¹ (AUTHOR)

Source: Sensors (14248220). Sep2023, Vol. 23 Issue 17, p7635. 22p.

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Academic Journal

Sensor Data Acquisition and Processing Parameters for Human Activity Classification.

Authors : Bersch, Sebastian D.¹ ; Azzi, Djamel¹ ; Khusainov, Rinat¹

Source: Sensors (14248220). Mar2014, Vol. 14 Issue 3, p4239-4270. 32p.

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Classical Machine Learning Versus Deep Learning for the Older Adults Free-Living Activity Classification.

Authors : Awais, Muhammad^1,2 (AUTHOR) ; Chiari, Lorenzo^2,3 (AUTHOR) ; Ihlen, Espen A. F.⁴ (AUTHOR)

Source: Sensors (14248220). Jul2021, Vol. 21 Issue 14, p4669-4669. 1p.

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فلترة النتائج

Seismic Signal Analysis Based on Variational Mode Decomposition and Hilbert Transform for Ground Intrusion Activity Classification.

Wearable-Based Stair Climb Power Estimation and Activity Classification.

An Adaptive S-Method to Analyze Micro-Doppler Signals for Human Activity Classification.

Analysis of Optimal Sensor Positions for Activity Classification and Application on a Different Data Collection Scenario.

Performance Evaluation of State of the Art Systems for Physical Activity Classification of Older Subjects Using Inertial Sensors in a Real Life Scenario: A Benchmark Study.

Feature Representation and Data Augmentation for Human Activity Classification Based on Wearable IMU Sensor Data Using a Deep LSTM Neural Network.

Improving Radar Human Activity Classification Using Synthetic Data with Image Transformation.

Productivity Measurement through IMU-Based Detailed Activity Recognition Using Machine Learning: A Case Study of Masonry Work.

Sensor Data Acquisition and Processing Parameters for Human Activity Classification.

Classical Machine Learning Versus Deep Learning for the Older Adults Free-Living Activity Classification.

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