Fig 2 -

<p>(a) The probability of the appearance of zero counts relative to the total time of sedentary behavior () was calculated by the total time for each zero count and sedentary behavior. (b) The optimal threshold was estimated as the function of . Scatters show the relationship between the and t...

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Bibliographic Details
Main Author:	Natsumi Nishiyama (19928990) (author)
Other Authors:	Shoji Konda (11594227) (author), Issei Ogasawara (3815296) (author), Ken Nakata (3815290) (author)
Published:	2024
Subjects:	Biotechnology Cancer Science Policy Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified synthetic classification algorithm limited variability inherent following two criteria consecutive zeros must actual behavioral records 99 &# 8211 98 &# 8211 95 &# 8211 94 &# 8211 93 &# 8211 85 &# 8211 physical activity data monitor physical activity estimate activity intensity daily activity recording proposed classification methods evaluation utilized simulation based augmented data appearance probability preceding accurately determining wear 97 &# 8211 activity estimation proposed method increasingly utilized based indexes zero counts wearable sensors wear time threshold value sedentary behaviors original dataset often leading axis accelerometers 60 minutes 10 minutes
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Fig 2 -

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