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ÇѱÛÁ¦¸ñ(Korean Title) |
Enhancement of Fall-Detection Rate using Frequency Spectrum Pattern Matching |
¿µ¹®Á¦¸ñ(English Title) |
Enhancement of Fall-Detection Rate using Frequency Spectrum Pattern Matching |
ÀúÀÚ(Author) |
Suhwan Lee
Dongik Oh
Yunyoung Nam
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¿ø¹®¼ö·Ïó(Citation) |
VOL 18 NO. 03 PP. 0011 ~ 0017 (2017. 06) |
Çѱ۳»¿ë (Korean Abstract) |
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¿µ¹®³»¿ë (English Abstract) |
To the elderly, sudden falls are one of the most frightening accidents. If an accident occurs, a prompt action has to be taken to deal with the situation. Recently, there have been a number of attempts to detect sudden falls using acceleration sensors embedded in the mobile devices, such as smart phones and wrist-bands. However, using the sensor readings only, the detection rate of the falls is around 65%. Ordinary daily activities such as running or jumping could not be well distinguished from the falls. In this paper, we describe our attempts on improving the fall-detection rate. We implemented a wrist-band fall detection module, using a three-axis acceleration sensor. With the pattern matching on the fall signal-strength frequency spectrum, in addition to the conventional signal strength measurement, we could improve the detection rate by 9% point. Furthermore, by applying two wrist-bands in the experiment, we could further improve the detection rate to 82%.
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Å°¿öµå(Keyword) |
Fall detection
Acceleration measurement
Frequency spectrum
Pattern matching
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