Hi-Care: Smart Virtual Assistant System Architecture with Domain-Driven Design towards Improving Quality of Life
The Covid-19 pandemic has had an impact on all sectors, especially the health sector. All countries are overwhelmed by this outbreak, more effort is needed to prepare for similar health outbreaks. The role of information technology is needed to help human life, preventive efforts to address and monitor health require a tool that can measure and detect a person’s health condition. IoT can integrate all existing devices and sensors, to monitor health conditions in the form of wearable devices. In addition, a smart application is needed as a health assistant that can process data so that it becomes health tips and referrals. So, in this research it is necessary to design an architecture that can describe in detail the parts of each existing small service. The research chose the Domain-Driven Design approach which is claimed from various literature to be able to map the needs of all the smallest services, so that the architectural design can be described in full. The results of the study obtained three main parts, namely wearable IoT devices, mobile applications, and cloud servers. Its main function is being able to monitor and record general health conditions such as body temperature, heart rate, and oxygen saturation. The data is managed on a cloud server and then becomes a decision in providing suggestions and tips from the virtual assistant application. In addition, there is also a mapping of the condition of certain areas which are divided into four zones.
Authors
- Rohmat Gunawan (ORCID: https://orcid.org/0000-0003-0407-2784)
- Erna Haerani
- Irfan Darmawan (ORCID: https://orcid.org/0000-0003-0286-6476)
- Alam Rahmatulloh (ORCID: https://orcid.org/0000-0002-1948-7379)
- Randi Rizal (ORCID: https://orcid.org/0000-0002-4377-2137)
- Rianto Rianto (ORCID: https://orcid.org/0000-0003-2691-9210)
Institutions
- Siliwangi University (ID)
- Telkom University (ID)
Publication Details
- Published
- 2024-10-24
- DOI
- https://doi.org/10.1109/icic64337.2024.10956960
- Citations
- 1
- Primary Topic
- IoT and Edge/Fog Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.35