updated:2016.01.06

(日本語) 【触楽入門こぼれ話】第3回 「テクタイルツールキットの発明・前夜」

Sorry, this entry is only available in 日本語.

updated:2016.01.05

(日本語) 【触楽入門こぼれ話】第2回 「文字の森、書籍の海」

Sorry, this entry is only available in 日本語.

updated:2016.01.04

(日本語) [2016/1/15発売]【触楽入門こぼれ話】第1回:初回お打ち合わせ@朝日出版社

Sorry, this entry is only available in 日本語.

updated:2013.07.08

Do It Yourself: We’ve published how to build your own TECHTILE toolkit

Sorry, this entry is only available in 日本語.

updated:2013.05.08

Part-time lecture on TECHTILE in Tama Art University, hosted by Prof. Nagahara

Part-time lecture (one month period) on TECHTILE in Tama Art University, hosted by Prof. Nagahara has been just started. Yasuaki Kakehi and Wataru Kobara are taking part of this. You can see the atmosphere in flicker.

Lecture at Tamabi 2013

Lecture at Tamabi 2013

updated:2013.04.30

TECHTILE is featured by Tokyo Web

Our TECHTILE activity was featured by Tokyo Web, entitle as “Exploring haptic world (in the series of growing science mind!), written by a Science communicator Ms. Katsue Nagakura. You can read the article in TOKYO Web in Japanese.

updated:2013.03.18

Web report on YCAM InterLab Camp vol. 2 “TECHTILE” is out now

Our 2 days workshop held on 3/9-3/10 in 2013 at YCAM InterLab Camp Vol.2 was reported in Japanese popular website PC watch, written by Science Writer Kazumichi Moriyama, in the article of “The interface between human beings and machine.” Please check it out: YCAM「TECHTILE」Workshop report.

updated:2012.12.04

(日本語) 筧 康明、インタヴュー記事公開

Sorry, this entry is only available in 日本語.

updated:2012.10.01

2012/10/1 Good Design Award 2012

TECHTILE project was selected as top 100 GOOD DESIGN AWARD 2012.

The TECHTILE toolkit will be honely exhibited at
GOOD DESIGN EXHIBITION 2012 held on 11/23 (Fri) – 11/25/2012 (Sun).
Please stop by and experience our latest demonstration.

updated:2012.07.13

Gesture Follower(Max/MSP modules)

The gesture follower is a ensemble of Max/MSP modules to perform gesture recognition and following in real-time. It is integrated in the toolbox MnM of the library FTM (see dowload). The general idea behind it is to get parameters from the comparison between a performance and an set of prerecorded examples.

Detail and download here