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Publication : sensors (14248220)

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Academic Journal

Sensor-Acquired Reachable Workspace (RWS) Correlates with Activities of Daily Living (ADL) Function in Stroke as Measured by Functional Independence Measure (FIM) Self-Care.

Authors : Chan, Vicky¹ (AUTHOR) ; Lee, Seungcheol Austin² (AUTHOR) ; Lee, Jaylen M.³ (AUTHOR)

Source: Sensors (14248220). Nov2024, Vol. 24 Issue 21, p6786. 14p.

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Academic Journal

Real-Time Prediction of Resident ADL Using Edge-Based Time-Series Ambient Sound Recognition.

Authors : Lee, Cheolhwan¹ (AUTHOR) ; Yuh, Ah Hyun¹ (AUTHOR); Kang, Soon Ju¹ (AUTHOR)

Source: Sensors (14248220). Oct2024, Vol. 24 Issue 19, p6435. 21p.

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Academic Journal

Knowledge-Based Remote E-Coaching Framework Using IoT Devices for In-Home ADL Rehabilitation Treatment of Degenerative Brain Disease Patients.

Authors : Kim, Hyo-Jung¹ (AUTHOR); Jeong, Seol-Young² (AUTHOR); Kang, Soon-Ju¹ (AUTHOR)

Source: Sensors (14248220). Oct2022, Vol. 22 Issue 20, pN.PAG-N.PAG. 16p.

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Academic Journal

Intelligent ADL Recognition via IoT-Based Multimodal Deep Learning Framework.

Authors : Javeed, Madiha¹ (AUTHOR) ; Mudawi, Naif Al² (AUTHOR) ; Alazeb, Abdulwahab² (AUTHOR)

Source: Sensors (14248220). Sep2023, Vol. 23 Issue 18, p7927. 20p.

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Academic Journal

Inertial Data-Based AI Approaches for ADL and Fall Recognition.

Authors : Martins, Luís M.^1,2,3 (AUTHOR) ; Ribeiro, Nuno Ferrete^1,2,3,4 (AUTHOR) ; Soares, Filipa^1,2,3 (AUTHOR)

Source: Sensors (14248220). Jun2022, Vol. 22 Issue 11, p4028-4028. 20p.

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Academic Journal

Visualization-Driven Time-Series Extraction from Wearable Systems Can Facilitate Differentiation of Passive ADL Characteristics among Stroke and Healthy Older Adults.

Authors : John, Joby^1,2 (AUTHOR) ; Soangra, Rahul^2,3 (AUTHOR)

Source: Sensors (14248220). Jan2022, Vol. 22 Issue 2, p598-N.PAG. 1p.

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Academic Journal

Subjective and Objective Day-to-Day Performance Measures of People with Essential Tremor.

Authors : Roth, Navit^1,2 (AUTHOR) ; Salih, Adham² (AUTHOR); Rosenblum, Sara¹ (AUTHOR)

Source: Sensors (14248220). Aug2024, Vol. 24 Issue 15, p4854. 13p.

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Academic Journal

Whitening-Aided Learning from Radar Micro-Doppler Signatures for Human Activity Recognition †.

Authors : Sadeghi Adl, Zahra¹ (AUTHOR) ; Ahmad, Fauzia¹ (AUTHOR)

Source: Sensors (14248220). Sep2023, Vol. 23 Issue 17, p7486. 14p.

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Academic Journal

Activities of Daily Living Object Dataset: Advancing Assistive Robotic Manipulation with a Tailored Dataset.

Authors : Shahria, Md Tanzil¹ (AUTHOR) ; Rahman, Mohammad H.^1,2 (AUTHOR)

Source: Sensors (14248220). Dec2024, Vol. 24 Issue 23, p7566. 20p.

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Academic Journal

Innovative Detection and Segmentation of Mobility Activities in Patients Living with Parkinson's Disease Using a Single Ankle-Positioned Smartwatch.

Authors : Goubault, Etienne¹ (AUTHOR) ; Duval, Christian^2,3 (AUTHOR) ; Martin, Camille⁴ (AUTHOR)

Source: Sensors (14248220). Sep2024, Vol. 24 Issue 17, p5486. 14p.

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فلترة النتائج

Sensor-Acquired Reachable Workspace (RWS) Correlates with Activities of Daily Living (ADL) Function in Stroke as Measured by Functional Independence Measure (FIM) Self-Care.

Real-Time Prediction of Resident ADL Using Edge-Based Time-Series Ambient Sound Recognition.

Knowledge-Based Remote E-Coaching Framework Using IoT Devices for In-Home ADL Rehabilitation Treatment of Degenerative Brain Disease Patients.

Intelligent ADL Recognition via IoT-Based Multimodal Deep Learning Framework.

Inertial Data-Based AI Approaches for ADL and Fall Recognition.

Visualization-Driven Time-Series Extraction from Wearable Systems Can Facilitate Differentiation of Passive ADL Characteristics among Stroke and Healthy Older Adults.

Subjective and Objective Day-to-Day Performance Measures of People with Essential Tremor.

Whitening-Aided Learning from Radar Micro-Doppler Signatures for Human Activity Recognition †.

Activities of Daily Living Object Dataset: Advancing Assistive Robotic Manipulation with a Tailored Dataset.

Innovative Detection and Segmentation of Mobility Activities in Patients Living with Parkinson's Disease Using a Single Ankle-Positioned Smartwatch.

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