Elderly fall detection

• Main Author: Tan, Qi Jian
• Other Authors: Law Choi Look
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2022
• Subjects: Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/157813
• Institution: Nanyang Technological University

The elderly population in Singapore is increasing and is expected to rise to a quarter of the Singapore population by 2030. This has raised an alarming concern within the nation and community as we have to learn and equip ourselves with the necessary knowledge and skills to take care and look out for this vulnerable age group. On top of this, the percentage of elderly living in isolation and developing sense of depression is also on a rise. This is especially concerning, especially with the current Covid- 19 situation, where due to the rules and regulations, there are fewer physical house visits. Thus, if the elderly encounters a situation such as falling, no one will know. Despite the government efforts to promote various useful application to the public, the elderly population may not be receptive to it due to the lack of knowledge on mobile application. The large influx of information may have an adverse effect on the elderly as they would be more confused, diminishing the intended outcome of these applications. Thus, this mobile application aims to develop a mobile application that include assisted living functions for the elderly, such as directory of hotlines, to-do-list, fall sensor etc. Even the aesthetic part of the mobile application is taken into consideration to fit the elderly needs. Hopefully, this provides the elderlies with the necessary functions to make their day-to-day life easier.