Monitoring daily life activities of the elderly using data mining, cloud and web services

บทความในวารสาร

ผู้เขียน/บรรณาธิการ

กลุ่มสาขาการวิจัยเชิงกลยุทธ์

ไม่พบข้อมูลที่เกี่ยวข้อง

รายละเอียดสำหรับงานพิมพ์

รายชื่อผู้แต่ง: Promrat T., Mongkolnam P., Funilkul S., Angkasirikul S.

ปีที่เผยแพร่ (ค.ศ.): 2017

วารสาร: Walailak Journal of Science and Technology (1686-3933)

Volume number: 14

Issue number: 10Special Issue

หน้าแรก: 801

หน้าสุดท้าย: 812

จำนวนหน้า: 12

นอก: 1686-3933

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021904441&partnerID=40&md5=eeb8d8a708272a8beb324e7a9769ecd6

ภาษา: English-Great Britain (EN-GB)

บทคัดย่อ

Currently, the number of elderly people worldwide has substantially increased. The elderly living alone are prone to accidents such as falls, which sometimes lead to fatalities without timely notifications and help. This research applies sensors in smartphone, data mining, web services and cloud computing techniques. We have developed an Android application for a smartphone to detect daily activities of the elderly. Smartphone communicates with the cloud computing through web services. The cloud integrates with data mining to classify activities done by the elderly. In addition, we have developed the Android application for a tablet computer to monitor the daily activities done by the elderly, including lying, sitting, standing, walking, running, fall, and any changes occurring in their routines. This can help to perceive the risk as well as the daily activities of the elderly and find a solution for a timely assistance. Furthermore, it also helps a caregiver or family members to monitor the elderly’s activities when they need to go out of their homes. © 2017, Walailak University. All rights reserved.

คำสำคัญ

Activity classification, Cloud Computing, Daily Life Activities, Sensor Fusion