Survey of Smart Technologies for Fall Motion Detection: Techniques, Algorithms and Tools
Conference proceedings article
ผู้เขียน/บรรณาธิการ
กลุ่มสาขาการวิจัยเชิงกลยุทธ์
ไม่พบข้อมูลที่เกี่ยวข้อง
รายละเอียดสำหรับงานพิมพ์
รายชื่อผู้แต่ง: Patsadu O., Nukoolkit C., Watanapa B.
ผู้เผยแพร่: Springer Verlag (Germany): Computer Proceedings
ปีที่เผยแพร่ (ค.ศ.): 2012
Volume number: 344
หน้าแรก: 137
หน้าสุดท้าย: 147
จำนวนหน้า: 11
ISBN: 9783642350757
นอก: 1865-0929
ภาษา: English-Great Britain (EN-GB)
บทคัดย่อ
The aging population has become a world-wide social concern. The number of people living alone and experiencing falls is increasing. This is a major health risk, especially among the elderly; thus, the early detection of fall motion is of great significance. A smart home care system is needed to monitor abnormal events. This paper first conducts a survey of existing smart systems and techniques in detecting fall motion in human movement, including the emergence of new natural user interface (NUI) devices and systems in the consumer market. Secondly, the paper categorizes smart technologies for fall motion detection into three main technological groups: acoustic and ambient sensor-based, kinematic sensor-based, and lastly the computer vision and NUI. An insightful discussion of each category's advantages and disadvantages is provided. The findings show a promising research direction of integrating the computer vision with the novel consumer-grade NUI device, such as Kinect, in achieving of an affordable and practical smart home fall motion detection system. ฉ Springer-Verlag Berlin Heidelberg 2012.
คำสำคัญ
Fall Motion Detection, Image and Video Analysis, Sensors, Smart Home Care Systems, Smart Technology
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