sas 16(5): e2

Research Article

Activity Monitoring System for Independent Elderly Living

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  • @ARTICLE{10.4108/eai.3-12-2015.2262528,
        author={Timothy Walters and Rosemary Espinal and Vanessa Restrepo and Joseph Santacroce and Douglas Dow},
        title={Activity Monitoring System for Independent Elderly Living},
        journal={EAI Endorsed Transactions on Self-Adaptive Systems},
        volume={2},
        number={5},
        publisher={ACM},
        journal_a={SAS},
        year={2016},
        month={5},
        keywords={humidity, temperature, internet of things, raspberry pi, motion detection},
        doi={10.4108/eai.3-12-2015.2262528}
    }
    
  • Timothy Walters
    Rosemary Espinal
    Vanessa Restrepo
    Joseph Santacroce
    Douglas Dow
    Year: 2016
    Activity Monitoring System for Independent Elderly Living
    SAS
    EAI
    DOI: 10.4108/eai.3-12-2015.2262528
Timothy Walters1, Rosemary Espinal1, Vanessa Restrepo1, Joseph Santacroce1, Douglas Dow1,*
  • 1: Wentworth Institute of Technology
*Contact email: dowd@wit.edu

Abstract

Some elderly people prefer to live independently and not in group settings, such as nursing homes. As age increases, health risks for independent living increase, including incapacitation. The longer one remains in an incapacitated state before being detected and receiving help, the higher the risk of permanent impairment or death. Systems that monitor activity within a residence may allow an elderly person to live independently, since the system would detect a lack of activity and would make alerts for help to arrive if one were to enter an incapacitated state. The objectives of this project were to develop and test modules of an activity monitoring system for a bathroom, the toiletry restroom of a residence. Prototype modules have been developed based on a Raspberry Pi, sensors for motion, contact switches to determine opening and closing of doors and cabinets, water valve sensors, and a temperature and humidity sensor. LEDs in the prototype serve the role of alerts or actuators, to be developed further. The prototype system did read from each sensor and controlled LEDs that modeled actuators. The received data was stored in Google Spreadsheet with data presented in graphs. The system shows promise but further development and testing are required toward application.