Towards Artificial Intelligence Driven Emotion Aware Fall Monitoring Framework Suitable for Elderly People with Neurolog
The contemporary world’s emerging issue is how the mental health and falling of a senior citizen with a neurological disorder can be maintained living at their homes as the number of aged people is increasing with the rising of life expectancy. With the a
- PDF / 937,169 Bytes
- 12 Pages / 439.37 x 666.142 pts Page_size
- 87 Downloads / 167 Views
Bangladesh University of Professionals, Mirpur Cantonment, Dhaka, Bangladesh [email protected], [email protected], [email protected], [email protected] 2 Nottingham Trent University, Clifton Campus, Nottingham NG11 8NS, UK [email protected], [email protected] 3 Institute of Information Technology, Jahangirnagar University, Savar, Dhaka 1342, Bangladesh [email protected]
Abstract. The contemporary world’s emerging issue is how the mental health and falling of a senior citizen with a neurological disorder can be maintained living at their homes as the number of aged people is increasing with the rising of life expectancy. With the advancement of the Internet of Things (IoT) and big data analytics, several works had been done on smart home health care systems that deal with in house monitoring for fall detection. Despite so much work, the challenges remain for not considering emotional care in the fall detection system for the old ones. As a remedy to the problems mentioned above, we propose an emotion aware fall monitoring framework using IoT, Artificial Intelligence (AI) Algorithms, and Big data analytics, which will deal with emotion recognition of the aged people, predictions about health conditions, and real-time fall monitoring. In the case of an emergency, the proposed framework alerts about a situation of urgency to the predefined caregiver. A smart ambulance or mobile clinic will reach the older adult’s location at minimum time. Keywords: Neurological disorder · Emotion recognition detection · IoT · Artificial Intelligence · Elderly
1
· Fall
Introduction
The world population is increasing for different factors like more child mortality rate, the advancement of the medical sector. With the increase in the life M. J. Al Nahian and T. Ghosh—Have contributed equally c Springer Nature Switzerland AG 2020 M. Mahmud et al. (Eds.): BI 2020, LNAI 12241, pp. 275–286, 2020. https://doi.org/10.1007/978-3-030-59277-6_25
276
M. J. Al Nahian et al.
expectancy rate, the number of older people has increased in recent years. There were 703 million people who matured 65 years or over on the planet in 2019. According to the United Nations, there is more than 30% growth of the elderly population anticipated by 2050 in 64 countries [16]. With age elderly people face various physical and mental health issues like neurological disorders [7], diabetes [34], hypertension, depression [1], heart problem, high pressure, and fall [14]. Fall is the leading cause of injury among the elderly. Older adults have fragile bones, less muscle strength, and poor eye vision for which they can lose balance and hurt themselves. In developed countries with elders living alone is rising the probability of deteriorating health problems as well as falling in the elderly as they are that time unable to alert anyone if they are unconscious. People aged 65 and 70 falls each year at a percentage of 28% and 32% respectively, according to the World Health Organization [9,15]. According to some mental health settings in Austr
Data Loading...
