著者

古賀 俊介 吉留 忠史 河原崎 徳之

出版者

一般社団法人 日本機械学会

雑誌

ロボティクス・メカトロニクス講演会講演概要集 2010 (ISSN:24243124)

巻号頁・発行日

pp._2A1-D28_1-_2A1-D28_4, 2010 (Released:2017-06-19)

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This paper proposes the method to analyze the musical intervals from recorded musical data by using FFT. We aim to build a system that teaches songs to a robot. Our method was able to reproduce a recorded monotonous song by Beep sound as a result to transform the song into frequency every 50msec. As a result of the experimentation of frequency analysis with the monotonous music and the song of voice synthesis, the small error was measured to sounds of more than 145[Hz].

著者

浅川 貴史 西原 主計 吉留 忠史

出版者

The Society of Instrument and Control Engineers

雑誌

計測自動制御学会論文集 (ISSN:04534654)

巻号頁・発行日

vol.45, no.2, pp.132-134, 2009-02-01 (Released:2011-11-02)

参考文献数

10

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We propose a method of analyzing a finger pulse by standard deviation using moving average for measuring mental load. Frequency analysis, Lorentz plot and Lyapnov exponent have been carried out to present measurement. However, this technique is analyzable in a shorter time than the existing technique.

著者

河原崎 徳之 渡邉 祐介 MITSUMOTO Kazuya 吉留 忠史 西原 主計

出版者

一般社団法人 日本機械学会

雑誌

ロボティクス・メカトロニクス講演会講演概要集

巻号頁・発行日

vol.2009, pp._1A2-M13_1-_1A2-M13_2, 2009

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This paper provides a simple health care system based on vocalization. Our health care system is composed of a tonometer, a clinical thermometer, a microphone and a PC. This system can record several vital signs (blood pressure, pulse rate and bodily temperature) and voice simultaneously. We examine the relationship between the formants of vocalization and vital signs using the multiple regression analysis. The systolic pressure, diastolic pressure and bodily temperature are estimated based on the formants of vocalization.

著者

河原崎 徳之 阿妻 峻 吉留 忠史

出版者

一般社団法人 日本機械学会

雑誌

ロボティクス・メカトロニクス講演会講演概要集 2017 (ISSN:24243124)

巻号頁・発行日

pp.2A2-M01, 2017 (Released:2017-11-25)

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This paper provides a supernumerary robot arm which is attached to the person's waist. This robot arm what we call the third arm. The robot arm is composed of four parts which are an upper-arm, fore-arm, hand and an attachment. The size of the arm is same as the person of it. The robot arm has six degrees of freedom of motion and each joints moves by the servo motor. We conducted several experiments in order to clarify the effectiveness of our robot arm.