Tag Archives: vital sensing

(日本語) MICT研究会

Posted on Saturday February 18th, 2023 by ts

Sorry, this entry is only available in 日本語.

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SASIMI 2022

Posted on Sunday October 30th, 2022 by ts

Hitotsuyanagi and Segawa gave poster presentations at the Workshop on Synthesis And System Integration of Mixed Information Technologies (SASIMI2022) held in Hirosaki, Japan on October 24-25, 2022, (Hitotsuyanagi presented on 24th and Segawa on 25th). Y. Hitotsuyanagi and T. Sato, … Continue reading →

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Paper accepted for presentation in CCNC2022

Posted on Monday November 1st, 2021 by ts

The following paper has been accepted for presentation in CCNC2022 (IEEE Consumer Communications & Networking Conference 2022). This is a joint work with the research group of Prof. Koji Yamamoto (Kyoto Univ.). Takamochi Kanda, Takashi Sato, Hiromitsu Awano, Sota Kondo, … Continue reading →

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(日本語) 第34回回路とシステムワークショップ 採択決定

Posted on Friday June 25th, 2021 by ts

Sorry, this entry is only available in 日本語.

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Paper accepted for oral presentation in IEEE BHI 2021

Posted on Wednesday June 16th, 2021 by ts

The following paper has been accepted for presentation in IEEE BHI 2021 (The IEEE-EMBS International Conference on Biomedical and Health Informatics 2021). Acceptance rate: 32.7% Itsuki Shirakami and Takashi Sato, “Extraction of heart rate variability using commodity Wi-Fi devices,” in … Continue reading →

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BioCAS2019

Posted on Thursday October 24th, 2019 by ts

Nakamura, M2 student in our lab, gave a poster presentation at BioCAS2019 (Biomedical Circuits and Systems Conference) held at Nara Kasugano International Forum on October 17-19, 2019. Nakamura’s presentation is related to a method of heart rate estimation from photoelectric … Continue reading →

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A paper accepted for presentation in BioCAS2019

Posted on Saturday September 7th, 2019 by ts

The following paper has been accepted to the international conference BioCAS2019 (Biomedical Circuits and Systems Conference). Masaki Nakamura and Takashi Sato, “Heart Rate Estimation During Exercise from Photoplethysmographic Signals Using Convolutional Neural Network,” in Proc. Biomedical Circuits and Systems Conference … Continue reading →

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