Non-Wearable IoT-Based Smart Ambient Behavior Observation System
| Autor: | Husnain Jawad, Saadullah Farooq Abbasi, Tomi Westerlund, Anum Nawaz, Lin Chen, Muhammad Awais, Saeed Akbarzadeh, Muhammad Irfan, Wei Chen, Barkoum Betra Felix |
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| Rok vydání: | 2021 |
| Předmět: |
Smart system
Service (systems architecture) Activities of daily living business.industry Computer science Wearable computer Cloud computing computer.software_genre Visualization Intelligent sensor Human–computer interaction Electrical and Electronic Engineering business Instrumentation Java applet computer |
| Zdroj: | IEEE Sensors Journal. 21:20857-20869 |
| ISSN: | 2379-9153 1530-437X |
| DOI: | 10.1109/jsen.2021.3097392 |
| Popis: | A growing number of advanced smart systems and solutions are being designed for the elderly, helping them to live longer at home. These systems need to provide unobtrusive monitoring and safety for their users and information for the healthcare professionals and family members. Multi-modal sensor data enables the possibility for in-depth behavioral analysis. To gather multi-modal data, we propose an IoT-based smart ambient behavior observation system (SABOS). SABOS provides unobtrusive monitoring of daily living activities by utilizing various sensors integrated into the residential house. To reduce the amount of data, we present a data reduction algorithm. The data reduction algorithm effectively reduces over 90% of the submitted data with full recovery in the cloud. Data is sent to ThingSpeak for MATLAB visualization and analysis to generate graphical illustrations of daily living activities. In an emergency, an “if this then that” (IFTTT) service combined with ThingSpeak triggers an applet to send a defined message to a healthcare professional or a family member. |
| Databáze: | OpenAIRE |
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