MA3-1 30th Fuzzy System Symposium (Kochi, September 1-3, 2014) Analysis of Comfort Given to Human by Using Sound Generation System Based on Netowork o

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1 Analysis of Comfort Given to Human by Using Sound Generation System Based on Netowork of Chaotic Elements 3 Yoichiro Maeda Shingo Muranaka 3 Masato Sasaki 3 Osaka Institute of Technology Falco SD Holdings 3 Kuzuha Mizuno Abstract: In our laboratory, we are developing Interactive Chaotic Amusement System (ICAS) for sound generation using network of chaotic elements. In ICAS, universal sounds can be generated by adjusting pitch, tone length, and volume, which is realized by controlling of synchrony and asynchrony. Several musical elements have been imported in ICAS in order to generate more natural sounds according to different people. At first we focus on the analysis of the relation between the generated sound and /f fluctuation symptom which makes human feel comfortable. According to the results, we found that most of the generated comfortable sounds have the similar characteristic of /f fluctuation. Next, we focus on relaxing people and generating sounds in ICAS using brain wave information. We have developed a system for tuning the parameters of network of chaotic elements to generate relaxation sounds for human. And it can make judgments to the relaxation degree at the same time. [] [] [3] ICAS(Interactive Chaotic Amusement System) [4, 5] ICAS ICAS ICAS /f ICAS ICAS (ICAS) ICAS ICAS () (Globally Coupled Map:GCM) x i (t +)=[ e]f(x i (t)) + e N N f(x j (t)) () j= f i (x i (t)) = ax i (t) [i =,,n] () 43

2 人間の動作カメラ画像データ ( 入力 ) 人間カオティックサウンド ICAS スピーカー PC サウンドデータ ( 出力 ) (a) ICAS : ICAS (b) f(x) () N e a x i (t) f i (x i (t)) t i () GCM GCM a e GCM a e ( ) e a ( ) [6] ICAS (GCM) GCM (a) ICAS ICAS GCM (b) GCM n GCM n GCM GCM3 4 n=4 3 /f ICAS /f 3. /f ICAS /f [7] /f /f /f ICAS /f ICAS /f /f 5 (a =.4,e =.4) (a =.,e =) (a =.8,e =.) (a =.7,e =.) 4 /f /f C-major ch: Orchestral Harp( ) ch: Acoustic Guitar[nylon]( [ ]) 3ch: String Ensemble( ) 4ch: String Ensemble( ) 5 /f 44

3 (a) (a =.4,e =.4) (a) (a =.8,e =.) (b) /f (b) /f : /f ( ) 4: /f ( ) (a) (a =.,e=) (a) (a =.7,e =.) (b) /f (b) /f 3: /f ( ) 5: /f ( ) /f ( =.937) ( =.37) 3.3 ICAS 3.3. ICAS a e ( ) ( ) a,e /f 6 /f 3.3. A A 7 A /f A 7 C-major =.47 /f A /f /f A /f 3 4 /f 45

実験開始本研究の目的とシステムの説明サウンドとパラメータの記録不快のサウンド生成 ( 分間 ) : ( A ) ch: A ch: C-major a =.74 a =.85 a =.93.47 3ch: e =.9 e =.7 e =.

4 実験開始本研究の目的とシステムの説明サウンドとパラメータの記録不快のサウンド生成 ( 分間 ) : ( A ) ch: A ch: C-major a =.74 a =.85 a = ch: e =.9 e =.7 e =.9 4ch: サウンド生成練習 (5 分間 ) 快のサウンド生成 ( 分間 ) サウンドとパラメータの記録口答によるサウンドの印象評価アンケート : ( A ) A B C D E F G H I J 実験終了 6: GCM 8 9 /f 3 4 GCM GCM GCM (a) [ ] (b) [ ] (c) [ ] (d) /f (e) 7: GCM /f ( A ) 4 ICAS /f ICAS R 4. R ICAS G, G, G 46

5 3: GCM ( ) /f GCM # A B C D E F G H I J : GCM ( ) /f GCM # A.3.9 B C D E F.374. G H I.3.8 J.95. 平均感性評価値平均感性評価値 λ 値 λ 値 8: ( ) 9: ( ) R (3) R k k k R = R ( R ) G, G, G k θ G θ + k α G α k θ G θ + k α G α + k β G β (3) k, k, k 4. X Y Z ( ) G G G G G G G + G + G = 4.3 ICAS R GCM a e ICAS R R 音高 ( 快 ) 音長 ( 快 ) 音量 ( 快 ) 音高 ( 不快 ) 音長 ( 不快 ) 音量 ( 不快 ) : GCM 47

Gβ Gβ.4 コヒーレント相.4 コヒーレント相.3.3 Gα Gα e.. e.. Gθ Gθ リラックス傾向ストレス傾向 : 非.5.6.7.8.9.

6 Gβ Gβ.4 コヒーレント相.4 コヒーレント相.3.3 Gα Gα e.. e.. Gθ Gθ リラックス傾向ストレス傾向 : 非 a 大域探索非 a 局所探索 3: GCM 脳波計測開始脳波データ取得サウンド生成開始 GCM パラメータ制御 GCM パラメータによる局所探索被験者脳波計 (Bluetooth) 脳波データ送信サウンド出力スピーカー PC リラックス度 R の入力リラックス度 R の計算 ICAS によるサウンド生成リラックス度 R の出力リラックス度 R の入力リラックス度 R の最高値決定 GCM パラメータの制御 (a) (b) no リラックス度 R の最高値決定 GCM パラメータの制御 no 3 回繰り返し? 4: yes yes 脳波計測終了サウンド生成終了 : (3) R GCM R GCM 3 9 ( ) R ( 7 ) ( ) 8 ( ) R ( ) a e (ZMP ) PC Bluetooth R R () R k k k ( ) ( ) (Gymnopedie No.) 4 k θ = G θr G θs (4) k α = G αr G αs (5) k β = G βr G βs (6) k i : (i = θ, α, β) G ir : G is : 48

7 (a) A 8 6 G θ α 8 (b) B 5: A B C D E F (c) C (d) D 6: t t.894 p (e) E (f) F 5: SD 5 (5 ) ( 3-4) () ( ) 5 R 5 5 R GCM (3) GCM 9 GCM (a,e) R (4) GCM k k k (3) R 5 R R t 5% 6 p.5 R A R GCM 6 R R 49

8 (a) R e コヒーレント相非 a (b) GCM.4.3 6: ( A) e. コヒーレント相. 非 a 4 7: GCM GCM 7 GCM GCM 5 ICAS /f /f /f /f GCM ICAS R R JSPS [],,, Vol.3, pp (8) [],,, Synchrogram,, Vol.4, No., pp.7-4 (4) [3],,,,, - - -, 53 pp.8-8 (4) [4],,,,, Vol.8, No.4, pp (6) [5],,,, Vol., No.5, pp (9) [6],, () [7],, Tel & Fax : maeda@bme.oit.ac.jp 5

IPSJ SIG Technical Report Vol.2016-CE-137 No /12/ e β /α α β β / α A judgment method of difficulty of task for a learner using simple

IPSJ SIG Technical Report Vol.2016-CE-137 No /12/ e β /α α β β / α A judgment method of difficulty of task for a learner using simple 1 2 3 4 5 e β /α α β β / α A judgment method of difficulty of task for a learner using simple electroencephalograph Katsuyuki Umezawa 1 Takashi Ishida 2 Tomohiko Saito 3 Makoto Nakazawa 4 Shigeichi Hirasawa