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Summary of the 2nd nurse care activity recognition challenge using lab and field data

Published: 12 September 2020 Publication History

Abstract

2nd Nurse Care Activity Recognition Challenge using Lab and Field Data is organized as a part of HASCA workshop and is continuation of Nurse Care Activity Recognition Challenge [7]. We give the description of the dataset and summarize the approaches used by the teams in this Challenge. In this challenge, data collected in both lab and real-world setting is provided to the challenge participants with an aim to bridge the gap between lab and practical field to reduce the workload of the nurses. The challenge was started on May 1, 2020 and continued until July 9, 2020. Accuracy is used as performance metric to evaluate the submissions. The winning team used k-NN classifier and achieved about 22.35% accuracy.

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Cited By

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  • (2024)A stacked CNN and random forest ensemble architecture for complex nursing activity recognition and nurse identificationScientific Reports10.1038/s41598-024-81228-x14:1Online publication date: 30-Dec-2024
  • (2023)Open Datasets in Human Activity Recognition Research—Issues and Challenges: A ReviewIEEE Sensors Journal10.1109/JSEN.2023.331764523:22(26952-26980)Online publication date: 15-Nov-2023
  • (2022)Bento Packaging Activity Recognition from Motion Capture DataSensor- and Video-Based Activity and Behavior Computing10.1007/978-981-19-0361-8_15(227-236)Online publication date: 4-May-2022
  • Show More Cited By

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  1. Summary of the 2nd nurse care activity recognition challenge using lab and field data

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    cover image ACM Conferences
    UbiComp/ISWC '20 Adjunct: Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers
    September 2020
    732 pages
    ISBN:9781450380768
    DOI:10.1145/3410530
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 12 September 2020

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    Author Tags

    1. activity recognition
    2. challenge
    3. nurse care
    4. summary

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    Overall Acceptance Rate 764 of 2,912 submissions, 26%

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    Cited By

    View all
    • (2024)A stacked CNN and random forest ensemble architecture for complex nursing activity recognition and nurse identificationScientific Reports10.1038/s41598-024-81228-x14:1Online publication date: 30-Dec-2024
    • (2023)Open Datasets in Human Activity Recognition Research—Issues and Challenges: A ReviewIEEE Sensors Journal10.1109/JSEN.2023.331764523:22(26952-26980)Online publication date: 15-Nov-2023
    • (2022)Bento Packaging Activity Recognition from Motion Capture DataSensor- and Video-Based Activity and Behavior Computing10.1007/978-981-19-0361-8_15(227-236)Online publication date: 4-May-2022
    • (2022)Bento Packaging Activity Recognition Based on Statistical FeaturesSensor- and Video-Based Activity and Behavior Computing10.1007/978-981-19-0361-8_13(207-216)Online publication date: 4-May-2022
    • (2021)Accelerometer based Complex Nurse Care Activity Recognition using Machine Learning ApproachAdjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers10.1145/3460418.3479390(452-457)Online publication date: 21-Sep-2021
    • (2021)Nurse Care Activity Recognition from Accelerometer Sensor Data Using Fourier- and Wavelet-based FeaturesAdjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers10.1145/3460418.3479387(434-439)Online publication date: 21-Sep-2021
    • (2021)Analysis of Feature Importances for Automatic Generation of Care RecordsAdjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers10.1145/3460418.3479354(316-321)Online publication date: 21-Sep-2021
    • (2021)PerMML: A Performance Metric for Multi-layer DatasetAdjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers10.1145/3460418.3479352(285-290)Online publication date: 21-Sep-2021
    • (2021)9th International Workshop on Human Activity Sensing Corpus and Applications (HASCA)Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers10.1145/3460418.3479266(281-284)Online publication date: 21-Sep-2021

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