Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Mio Tsukahara"'
Autor:
Masahiko Yoshimoto, Takaaki Fuchikami, Motofumi Nakanishi, Hiroshi Kawaguchi, Hiromitsu Kimura, Shintaro Izumi, Mio Tsukahara, Yoshikazu Fujimori, Kyoji Marumoto
Publikováno v:
IEICE Transactions on Electronics. (4):233-242
This paper presents an algorithm for a physical activity (PA) classification and metabolic equivalents (METs) monitoring and its System-on-a-Chip (SoC) implementation to realize both power reduction and high estimation accuracy. Long-term PA monitori
Publikováno v:
2017 IEEE Life Sciences Conference (LSC).
This study describes a low-power metabolic equivalents estimation method. Low-power consumption is a key feature of wearable devices because it requires longer battery-life with small battery capacity. The proposed algorithm employs adaptive sampling
Autor:
Motorumi Nakanishi, Kyoji Marumoto, Hiroshi Kawaguchi, Masahiko Yoshimoto, Takaaki Fuchikami, Mio Tsukahara, Yoshikazu Fujimori, Hiromitsu Kimura, Shintaro Izumi
Publikováno v:
ASP-DAC
This paper presents a low-power metabolic equivalents (METs) estimation SoC for monitoring physical activity with wearable sensor. Long-term continuous METs monitoring can contribute to detection of non-communicable diseases. The proposed SoC consist
Autor:
Motofumi Nakanishi, Shintaro Izumi, Kyoji Marumoto, Hiroshi Kawaguchi, Mio Tsukahara, Yoshikazu Fujimori, Masahiko Yoshimoto, Takaaki Fuchikami, Hiromitsu Kimura
Publikováno v:
ICECS
This paper describes a low-power metabolic equivalents (METs) estimation method for monitoring physical activity. Long-term continuous METs monitoring can contribute to detection of non-communicable diseases. The proposed system consists of dedicated
Autor:
Hiroshi Kawaguchi, Motofumi Nakanishi, Masahiko Yoshimoto, Yozaburo Nakai, Shintaro Izumi, Mio Tsukahara
Publikováno v:
EMBC
This paper describes a proposed low-power metabolic equivalent estimation algorithm that can calculate the value of metabolic equivalents (METs) from triaxial acceleration at an adaptively changeable sampling rate. This algorithm uses four rates of 3