s. First it aims at applying Information and
Communication Technology to support the healthcare sectors especially for the elderly and
patients in two related parts: fall detection and fall prevention. The fall detection system targets
to detect possible falls and alert caregivers to take an immediate action to minimize injuries
and loss. Additionally, the fall prevention system acts as the preventive measure by recording
personal information and walking patterns. Then the system analyzes the fall risk and suggests
the elderly or patients to be more cautious as well as recommends their family members to pay
more attentive care.
Second it focuses on discovering the new framework and knowledge on computer science
including image processing, data mining and knowledge management that are applicable to
healthcare domain. There are challenges on how to develop fast image processing technique
to integrate with motion sensor data for detecting fall. Also the machine learning algorithms to
cluster and classify data of users for predicting fall risk must be studied. The new discovery
will be published as scientific publications of international standard.
Third due to the lack of open datasets of fall and gait, this project intends to collect a series
of walking footage and simulated fall of volunteers to be compiled as a standard datasets for
experimenting and published to researchers in healthcare.
Lastly the project aims at developing a real healthcare system that could be actually
implemented. Mae Fah Luang University has a health science faculty and university hospital.
We wish that the developed project will be partial adapted to the hospital and help improve the
efficiency of healthcare services.
8. ขอบเขตของโครงการวิจัย
The subjects of the research will be around 50 volunteers including elders from local