TY - GEN
T1 - A wearable sense of balance monitoring system towards daily health care monitoring
AU - Matsushita, Soichiro
AU - Oba, Toshihiko
AU - Otsuki, Kazuoki
AU - Toji, Masao
AU - Otsuki, Junichi
AU - Ogawa, Kaoru
PY - 2003
Y1 - 2003
N2 - We implemented a wearable system for detecting accelerations of the user's head while standing still for the purpose of developing a daily health care application. A 2- axis accelerometer was attached on the top of the user's head to separately detect faint accelerations in both the front to back and right to left directions. The total weight of the headset device is only 195 grams including a 9V NiMH battery. This paper presents the results of several experiments performed with the headset system. First, we observed healthy subjects under normal conditions and recorded typical accelerations in the range of 10-30 milli-Gs, which was sufficient to be detected by the system's sensitivity. We then performed numerical analysis on traces of acceleration patterns for a specific user in different conditions. From these analyses we found that the total length of 2-dimensional acceleration pattern trace and a high frequency spectrum (2Hz-10Hz) of right/left acceleration were related to the physical condition of the user. The wearable headset device can be carried to anywhere the user goes and the diagnosis of the wearer's physical condition only requires that the user stand still for 30 seconds, showing that this system can be used for daily health care monitoring.
AB - We implemented a wearable system for detecting accelerations of the user's head while standing still for the purpose of developing a daily health care application. A 2- axis accelerometer was attached on the top of the user's head to separately detect faint accelerations in both the front to back and right to left directions. The total weight of the headset device is only 195 grams including a 9V NiMH battery. This paper presents the results of several experiments performed with the headset system. First, we observed healthy subjects under normal conditions and recorded typical accelerations in the range of 10-30 milli-Gs, which was sufficient to be detected by the system's sensitivity. We then performed numerical analysis on traces of acceleration patterns for a specific user in different conditions. From these analyses we found that the total length of 2-dimensional acceleration pattern trace and a high frequency spectrum (2Hz-10Hz) of right/left acceleration were related to the physical condition of the user. The wearable headset device can be carried to anywhere the user goes and the diagnosis of the wearer's physical condition only requires that the user stand still for 30 seconds, showing that this system can be used for daily health care monitoring.
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M3 - Conference contribution
AN - SCOPUS:33645393017
SN - 0769520340
SN - 9780769520346
T3 - Proceedings - International Symposium on Wearable Computers, ISWC
SP - 176
EP - 183
BT - Proceedings - 7th IEEE International Symposium on Wearable Computers, ISWC 2003
T2 - 7th IEEE International Symposium on Wearable Computers, ISWC 2003
Y2 - 21 October 2003 through 23 October 2003
ER -