Fine-Grained Activity of Daily Living (ADL) Recognition Through Heterogeneous Sensing Systems With Complementary Spatiotemporal Characteristics-Reference-Cited by-同舟云学术

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Fine-Grained Activity of Daily Living (ADL) Recognition Through Heterogeneous Sensing Systems With Complementary Spatiotemporal Characteristics

Published:2020-10-08 Issue: Volume:6 Page:
ISSN:2297-3362
Container-title:Frontiers in Built Environment
language:
Short-container-title:Front. Built Environ.

Author:

Pan Shijia,Berges Mario,Rodakowski Juleen,Zhang Pei,Noh Hae Young

Funder

National Science Foundation

Google

Intel Corporation

Publisher

Frontiers Media SA

Subject

Urban Studies,Building and Construction,Geography, Planning and Development

Reference36 articles.

1. Assessing human activity in elderly people using non-intrusive load monitoring;Alcala;Sensors,2017

2. Internet of things for remote elderly monitoring: a study from user-centered perspective;Azimi;J. Amb. Intell. Hum. Comput,2017

3. Training load monitoring algorithms on highly sub-metered home electricity consumption data;Berges;Tsinghua Sci. Technol,2008

4. “OAC: overlapping office activity classification through iot-sensed structural vibration,”;Bonde,2020

5. A review of data fusion techniques;Castanedo;Sci. World J,2013

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1. Acceptability of Remote Monitoring in Assisted Living/Smart Homes in the United Kingdom and Associated Use of Sounds and Vibrations—A Systematic Review;Applied Sciences;2024-01-19

2. A Vibration Sensing Device Using a Six-Axis IMU and an Optimized Beam Structure for Activity Monitoring;Sensors;2023-09-23

3. Fine-grained activity classification in assembly based on multi-visual modalities;Journal of Intelligent Manufacturing;2023-06-08

4. Fine-Grained Activity Classification in Assembly Based on Multi-Visual Modalities;2023-05-22

5. Non-Contact Activity Monitoring Using a Multi-Axial Inertial Measurement Unit in Animal Husbandry;Sensors;2022-06-09

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