Monitoring and visualizing the daily activities and in-house locations using smartphone

Conference proceedings article

ผู้เขียน/บรรณาธิการ

กลุ่มสาขาการวิจัยเชิงกลยุทธ์

ไม่พบข้อมูลที่เกี่ยวข้อง

รายละเอียดสำหรับงานพิมพ์

รายชื่อผู้แต่ง: Sukreep S., Mongkolnam P., Nukoolkit C.

ผู้เผยแพร่: Hindawi

ปีที่เผยแพร่ (ค.ศ.): 2015

หน้าแรก: 291

หน้าสุดท้าย: 296

จำนวนหน้า: 6

ISBN: 9781479919659

นอก: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84945980352&doi=10.1109%2fJCSSE.2015.7219812&partnerID=40&md5=c3c76dd333360e925636b397ab331b59

ภาษา: English-Great Britain (EN-GB)

ดูบนเว็บไซต์ของสำนักพิมพ์

บทคัดย่อ

Fall is a leading cause of accidental injury deaths and a key cause of significant health problems, especially for elderly people who live alone. To assist those people for seeking help when falling and keeping records of key daily movements, we propose a simple yet effective system to monitor the daily activities and in-house locations using smartphone. We also test the system for the optimum arrangement of our Wi-Fi access points. First, the data mining classification is applied through the threshold model to detect the common activities like sitting, standing, lying down, walking, running, walking up/downstairs, falling, and in-house locations. Then the system gives out a warning when unhealthy activities or falls are detected, using an alarm sound and short messages sent to those who are in contact or caretakers. In addition, it provides various forms of visualization such as a health risk level summary, daily activity summary, and in-house location summary. ฉ 2015 IEEE.

คำสำคัญ

Daily Activities, Health Risks, In-house Locations