Smart Happy Device with IoT : For those who suffer anxiety, stress, and depression
Due to the rising cases of Covid-19 in the world especially in Malaysia, the impact had been hit hard for many people. Due to this all people must be isolated in their home. It has affected the well-being and working life of millions of people across the world. Due to this disease, the mental health among people has increased significantly for the past 2 years. According to MoH, out of 983 Malaysian students, about 20.4%, 6.6%, and 2.8% are experienced minimal to moderate, marked to severe, and most extreme levels of anxiety, respectively. The main stressors are the remote online teaching, and uncertainty about the future regarding study and career which can affect mental health. Thus, the main objective of this project is to develop a product that may provide different medication methods to its users by helping people who suffer anxiety, stress, and depression. We used aromatherapy, positive quotes, and music therapy in order to release stress. The user can also check his or her pulse rate by only touching the fingerprint through the sensor. The microcontrollers used in this project are Arduino Uno and Arduino Mega to build the project circuit. The experimental results can improve body health, mind and spirit which enhances both physical and emotional health.
Authors
- Niranjana Govindan (ORCID: https://orcid.org/0000-0001-7709-2239)
- Fitri Yakub (ORCID: https://orcid.org/0000-0002-6603-2406)
- Ahmad Zahran Md Khudzari (ORCID: https://orcid.org/0000-0002-6328-7112)
- Inge Dhamanti (ORCID: https://orcid.org/0000-0003-2347-8771)
- Azızul Azizan (ORCID: https://orcid.org/0000-0002-5331-6071)
- Muljono Muljono
Institutions
- Universitas Airlangga (ID)
- Newcastle University Medicine Malaysia (MY)
- Universitas Dian Nuswantoro (ID)
- Intel (Malaysia) (MY)
- University of Technology Malaysia (MY)
Publication Details
- Published
- 2024-10-01
- DOI
- https://doi.org/10.1109/r10-htc59322.2024.10778904
- Citations
- 1
- Primary Topic
- Digital Mental Health Interventions
- Type
- article
- Field-Weighted Citation Impact
- 0.41