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A Mobile App for Nursing Activity Recognition

Published: 08 October 2018 Publication History

Abstract

We propose FonLog: a mobile app that can be used for a data collection tool in human activity recognition for nursing services. The app has essential features to collect activity data efficiently found by the feedbacks from nursing facilities from the staffs, namely, recording activity targets, a user-friendly interface, recognition feedback, customizable detailed records, instant activity, and offline functionality.

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Cited By

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  • (2024)Relabeling for Indoor Localization Using Stationary Beacons in Nursing Care FacilitiesSensors10.3390/s2402031924:2(319)Online publication date: 5-Jan-2024
  • (2024)Improved Evaluation Metrics for Sentence Suggestions in Nursing and Elderly Care Record ApplicationsHealthcare10.3390/healthcare1203036712:3(367)Online publication date: 31-Jan-2024
  • (2024)Preliminary Investigation of Activity Prediction in Nursing Homes using Activity History with Erroneous Time StampsCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3678384(851-855)Online publication date: 5-Oct-2024
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      cover image ACM Conferences
      UbiComp '18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers
      October 2018
      1881 pages
      ISBN:9781450359665
      DOI:10.1145/3267305
      Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Publication History

      Published: 08 October 2018

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      Author Tags

      1. domain-specific activity recognition
      2. mobile activity recognition
      3. mobile app
      4. nursing activity

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

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      Cited By

      View all
      • (2024)Relabeling for Indoor Localization Using Stationary Beacons in Nursing Care FacilitiesSensors10.3390/s2402031924:2(319)Online publication date: 5-Jan-2024
      • (2024)Improved Evaluation Metrics for Sentence Suggestions in Nursing and Elderly Care Record ApplicationsHealthcare10.3390/healthcare1203036712:3(367)Online publication date: 31-Jan-2024
      • (2024)Preliminary Investigation of Activity Prediction in Nursing Homes using Activity History with Erroneous Time StampsCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3678384(851-855)Online publication date: 5-Oct-2024
      • (2022)Understanding Wearing-Off Symptoms in Parkinson’s Disease Patients using Wrist-Worn Fitness Tracker and a SmartphoneProcedia Computer Science10.1016/j.procs.2021.12.064196(684-691)Online publication date: 2022
      • (2021)Predicting Wearing-Off of Parkinson’s Disease Patients Using a Wrist-Worn Fitness Tracker and a Smartphone: A Case StudyApplied Sciences10.3390/app1116735411:16(7354)Online publication date: 10-Aug-2021
      • (2021)CrowdActProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34322225:1(1-32)Online publication date: 30-Mar-2021
      • (2020)On-Device Deep Personalization for Robust Activity Data CollectionSensors10.3390/s2101004121:1(41)Online publication date: 23-Dec-2020
      • (2020)A Method for Sensor-Based Activity Recognition in Missing Data ScenarioSensors10.3390/s2014381120:14(3811)Online publication date: 8-Jul-2020
      • (2020)Improving activity data collection with on-device personalization using fine-tuningAdjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers10.1145/3410530.3414370(255-260)Online publication date: 10-Sep-2020
      • (2020)Estimation of Record Contents for Automatic Generation of Care RecordsActivity and Behavior Computing10.1007/978-981-15-8944-7_18(289-306)Online publication date: 24-Dec-2020
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