ィ⮬ືไᚚᏛ఍ᮾ໭ᨭ㒊 ➨ 296 ᅇ◊✲㞟఍(2015.7.24)㈨ᩱ␒ྕ 296-6

㐺ᛂᏛ⩦ᶵ⬟ࢆ᭷ࡍࡿ⾲᝟≉ᚩ✵㛫ࡢ⏕ᡂ࡜ᇶ♏ホ౯
Generation of expression feature space and its basic evaluation
with the adaptive learning functions‫ۑ‬ᒣᒇᏕྐ*㸪▼஭㞞ᶞ**㸪ᬒᒣ㝧୍*㸪㧗ᶫẎ*㸪 す⏣┾*‫ۑ‬Takashi Yamaya㸪 Masaki Ishii㸪 Yoichi Kageyama㸪Tsuyoshi Takahashi
Makoto Nishida*⛅⏣኱Ꮫ(Akita University)**⛅⏣┴❧኱Ꮫ(Akita Prefectural University)࣮࣮࢟࣡ࢻ㸸ࣄ࣮࣐࣐ࣗࣥࢩࣥ࢖ࣥࢱ࣮ࣇ࢙࢖ࢫ(Human Machine Interface)㸪ᑐྥఏ᧛ࢿࢵࢺ࣮࣡ࢡ(Counter Propagation Network)㸪
㐺ᛂඹ㬆⌮ㄽ(Adaptive Resonance Theory)㸪㏣ຍᏛ⩦(Incremental Learning)㸪
⾲᝟ㄆ㆑(Facial Expression Recognition)㐃⤡ඛ: ࠛ010-8502 ⛅⏣┴⛅⏣ᕷᡭᙧᏛᅬ⏫ 1-1 ⛅⏣኱Ꮫ኱Ꮫ㝔ᕤᏛ㈨※Ꮫ◊✲⛉ᬒᒣ㝧୍㸪Tel: (018)889-2786㸪Fax: (018)837-5771㸪Email: kageyama@ie.akita-u.ac.jp1㸬ࡣࡌࡵ࡟ឤ᝟ࡢࢥ࣑ࣗࢽࢣ࣮ࢩࣙࣥࡢᐇ⌧࡟ࡣ㸪㢦⾲᝟࡟╔┠ࡍࡿࡇ࡜ࡀ᭷⏝࡛࠶ࡿ࡜⪃࠼ࡿ㸬 ⾲᝟ㄆ㆑࡟㛵ࡍࡿᚑ᮶◊✲࡛ࡣ㸪▷ᮇ㛫࡛㏆ᖺ㸪ࣄ࣮࣐࣐ࣗࣥࢩࣥ㛫࡟࠾ࡅࡿឤ᝟ࡢ᧜ᙳࡋࡓ⿕㦂⪅ࡢ⾲᝟⏬ീࢆ⏝࠸࡚⾲᝟ㄆࢥ࣑ࣗࢽࢣ࣮ࢩࣙࣥࡢᐇ⌧ࢆ┠ⓗ࡜ࡋࡓ㢦㆑ࣔࢹࣝࢆ⏕ᡂࡋ㸪ホ౯ᐇ㦂ࢆ⾜ࡗ࡚࠸ࡿሙ⾲᝟ㄆ㆑࡟㛵ࡍࡿ◊✲ࡀὀ┠ࢆ㞟ࡵ࡚࠸ࡿ1)-5)㸬ࣟ࣎ࢵࢺ࡞࡝ࡀே㛫ࡢ⾜ື࠿ࡽពᅗ࣭ྜࡀከ࠸ 1)-5)㸬ࡋ࠿ࡋ࡞ࡀࡽ㸪ே㛫ࡢ⾲᝟ࡣ㟼ⓗከᵝᛶ(㢦ࢆᵓᡂࡍࡿჾᐁࡢᙧ≧࠾ࡼࡧឤ᝟ࢆ⌮ゎࡍࡿࡇ࡜ࡀ࡛ࡁࢀࡤ㸪≧ἣ࡟ᛂࡌ㓄⨨)࡜ືⓗከᵝᛶ(᝟ືࡢⓎ㟢࠾ࡼࡧពᛮࡓุ᩿࣭⾜ືࡀྍ⬟࡟࡞ࡿࡓࡵ㸪▱ⓗ࡞ࣄࣗఏ㐩᫬࡟࠾ࡅࡿ㢦㠃➽⫗ࡢືࡁ)ࢆ᭷ࡋ࡚࠸
࣮࣐࣐ࣥࢩࣥ࢖ࣥࢱ࣮ࣇ࢙࢖ࢫࡢᐇ⌧ࡀᮇࡿࡓࡵ㸪▷ᮇ㛫ࡢ᧜ᙳ࡛ಶேࡢ඲࡚ࡢ⾲᝟ࣃᚅࡉࢀࡿ㸬ࢱ࣮ࣥࢆྲྀᚓࡍࡿࡇ࡜ࡣᅔ㞴࡛࠶ࡿ㸬ࡲࡓ㸪 ே㛫ྠኈࡢࢥ࣑ࣗࢽࢣ࣮ࢩࣙࣥࡣ㡢ኌ㸪⾲᫬ࠎ้ࠎ࡜ኚ໬ࡍࡿ㢦⾲᝟ࡣᮍᏛ⩦ࡢ⾲᝟᝟㸪㌟᣺ࡾ࡞࡝ࡢ᝟ሗࢆ⏝࠸࡚⾜ࢃࢀࡿ㸬୰࡛ࡶே㛫ࡢ㢦⾲᝟ࡣ㸪㢦ࡢᵓᡂせ⣲࡛࠶ࡿ┱㸪 ࣃࢱ࣮ࣥࢆከᩘྵࡴࡓࡵ㸪⾲᝟ㄆ㆑ࣔࢹࣝ࡟ࡣᮍᏛ⩦ࡢ⾲᝟ࣃࢱ࣮ࣥ࡟㐺ᛂࡋ࡚㐍໬ࡍ┠㸪㰯㸪ཱྀ࡞࡝ࡢᙧ≧࠾ࡼࡧືࡁ࡟ࡼࡾ⾲ฟࡿᶵ⬟ࡀᚲせ࡛࠶ࡿ㸬ࡉࢀ㸪ከࡃࡢ᝟ሗࢆ᭷ࡍࡿࡇ࡜࠿ࡽ㸪ពᛮ␯ࡑࡇ࡛ᮏ✏࡛ࡣ㸪᫬㛫㍈࡟㡹ᙉᛶࢆ᭷ࡍࡿ
㏻࡟࠾࠸࡚㔜せ࡞ᙺ๭ࢆᢸࡗ࡚࠸ࡿ࡜⪃࠼⾲᝟ㄆ㆑ࣔࢹࣝࡢᐇ⌧ࢆ┠ⓗ࡜ࡋ㸪㐺ᛂᏛ⩦ࡿ㸬ࡇࡢࡓࡵ㸪ࣄ࣮࣐࣐ࣗࣥࢩࣥ㛫࡟࠾ࡅࡿᶵ⬟ࢆ᭷ࡍࡿ⾲᝟ㄆ㆑ࣔࢹࣝ࡟㛵ࡋ࡚ᇶ♏
᳨ウࢆ⾜࠺㸬2㸬ᐇ㦂ࢹ࣮ࢱྲྀᚓ᪉ἲ
2.1 ᐇ㦂ࢹ࣮ࢱྲྀᚓ⎔ቃ ⾲᝟ㄆ㆑ࡢᚑ᮶◊✲࡛ࡣ㸪Ekman Ặࡽ࡟ࡼࡗ࡚ᥦၐࡉࢀࡓ㢦⾲᝟グ㏙ἲ࡛࠶ࡿ
FACS(Facial Action Coding System)ࡀ≉ᚩ࡜ࡋ࡚ᗈࡃ⏝࠸ࡽࢀ࡚࠸ࡿ 6)㸬FACS ࡛ࡣ㸪ே✀㸪ᩥ໬㸪ᛶู࡞࡝࡟ࡼࡽ࡞࠸ᬑ㐢ⓗ࡞ឤ᝟ࡢศ㢮࡜ࡋ࡚ࠕᛣࡾࠖ㸪ࠕᝒࡋࡳࠖ㸪ࠕ᎘ᝏࠖ㸪ࠕ႐ࡧࠖ㸪ࠕ㦫ࡁࠖ㸪ࠕᜍࢀࠖࡢ 6 ✀㢮ࡢឤ᝟ࡀᐃ⩏ࡉࢀ࡚࠸ࡿ㸬 ᮏ✏࡛ࡣ㸪6 ᇶᮏ⾲᝟ࡢ୰࡛ࡶ㸪㢦⾲᝟ࡢ≀⌮ⓗኚ໬ࡀ᭱ࡶ㇏ᐩ࠿ࡘ㢧ⴭ࡟⾲ࢀࡿ࡜⪃࠼ࡽࢀࡿࠕ႐ࡧࠖࢆᑐ㇟࡜ࡋ㸪1 ྡࡢ⿕㦂⪅(᪥ᮏே 20 ௦⏨ᛶ)ࡀពᅗⓗ࡟⾲ฟࡋࡓ႐ࡧ⾲᝟࡜↓⾲᝟ࡢ 2 ⾲᝟࡟㛵ࡋ࡚ᇶ♏᳨ウࢆ⾜࠺㸬 ⾲᝟⏬ീࡢྲྀᚓࡣ㸪᪥ᖖ୍⯡ⓗ࡞⺯ගⅉୗ(⣙ 500㹼700lx)࡛⾜ࡗࡓ㸬⿕㦂⪅ࡢ㢦ࡣṇ㠃ྥࡁ࡜ࡋ㸪㢌㒊ࡀࣇ࣮࣒ࣞෆ࡟ྵࡲࢀࡿ≧ែ࡛ USB ࣓࢝ࣛ(Logicool ♫〇 QcamOrbit)ࢆ
⏝࠸࡚᧜ᙳࡋࡓ㸬ࡲࡓ㸪ྲྀᚓࡋࡓື⏬ࢹ࣮ࢱ
(320480pixel㸪15fps㸪60sec)ࢆ㟼Ṇ⏬ീ࡟ኚ᥮ࡋ㸪ṇつ໬ฎ⌮ࢆ᪋ࡋࡓୖ࡛⾲᝟⏬ീࢹ࣮ࢱࢭࢵࢺࢆసᡂࡋࡓ㸬࡞࠾㸪ᮏ◊✲ࡣࠕ⛅⏣኱Ꮫᡭᙧᆅ༊࡟࠾ࡅࡿேࢆᑐ㇟࡜ࡋࡓ◊✲࡟㛵ࡍࡿ೔⌮つᐃ➨ 6 ᮲➨ 2 㡯ࠖ࡟ᇶ࡙ࡁ㸪೔⌮ᑂᰝࡢ⏦ㄳࢆ⾜࠸㸪ᢎㄆࢆᚓࡓ◊✲ィ⏬
ࡢୗ㸪⿕㦂⪅ࡢ஢ᢎࢆᚓ࡚ࢹ࣮ࢱࢆྲྀᚓࡋ࡚࠸ࡿ㸬Fig.1 ᥦ᱌ᡭἲࡢᴫせOutline of proposed method3)4)ࡿࡓࡵ㸪⢒Ꮚ໬ฎ⌮(22pixel ࡢࣈࣟࢵࢡ༢఩)࡟ࡼࡾ⏬ീࡢḟඖᩘ(⏬ീࢧ࢖ࢬ)ࢆ๐ῶࡋࡓᚋ㸪ᖹ⁥໬ฎ⌮(4048pixel)ࢆ᪋ࡋࡓ㸬⏬ീୖࡢ(0㸪20)㸫(20㸪48)࠾ࡼࡧ(40㸪20)㸫(20㸪48)ࡢᗙᶆ㛫ࢆ⤖ࡪ 3 ḟ᭤⥺ࢆᘬࡁ㸪ࡑࡢෆ㒊ࢆ㢦㡿ᇦ࡜ࡋ࡚ᢳฟ
ࡋࡓ㸬ࣄࢫࢺࢢ࣒ࣛ⥺ᙧኚ᥮࡟ࡼࡾ⃰ᗘ್⿵ṇࢆᐇ᪋ࡋࡓ㸬

3㸬ᥦ᱌ᡭἲ ᥦ᱌ᡭἲࡣ㸪ᑐྥఏ᧛ࢿࢵࢺ࣮࣡ࢡ
(CPN)8) ࢆ⏝࠸࡚⏕ᡂࡉࢀࡿ⾲᝟≉ᚩ✵㛫
2.2 ⾲᝟⏬ീࡢṇつ໬
(CPN ࡢ Kohonen ᒙ)࡜㸪≉ᚩ✵㛫ࡢྛࣘࢽࢵࢺ࡟㐃⤖ࡋࡓ㐺ᛂඹ㬆⌮ㄽ(Fuzzy-ART)9)Ꮫ⩦࡟౑⏝ࡍࡿ⾲᝟⏬ീ࡟ࡣ㸪㢦ࡢᵓᡂせ࠿ࡽᵓᡂࡉࢀࡿ㸬ᥦ᱌ᡭἲࡢᴫせࢆᅗ 1 ࡟♧⣲ࡢᙧ≧ࡀಖᣢࡉࢀ࡚࠸ࡿࡇ࡜ࡀᚲせ࡛࠶ࡍ㸬࡞࠾㸪ᮏ✏࡛ࡣ᪤Ꮡࡢ Fuzzy-ART ࡟ࡶࡿ㸬ࡇࡢࡓࡵ㸪㢦ࡢᵓᡂせ⣲ࢆྵࡴ㡿ᇦࢆฎ࠺୍ࡘ㆙ᡄࣃ࣓࣮ࣛࢱࢆ㏣ຍࡋ㸪᪤Ꮡ࢝ࢸࢦ⌮ࡢᑐ㇟࡜ࡋ㸪௨ୗࡢᡭ㡰࡟ᚑࡗ࡚㢦㡿ᇦࡢࣜ࡜ⴭࡋࡃ␗࡞ࡿࢹ࣮ࢱ(౛࠼ࡤ㸪႐ࡧࡢ࢝ᢳฟ࠾ࡼࡧṇつ໬ࢆ⾜ࡗࡓ㸬ࢸࢦࣜ࡟ᛣࡾࡢ⾲᝟⏬ീࡀධຊࡉࢀࡓሙྜ)1) ↷᫂᮲௳ࡢኚື࠾ࡼࡧࣀ࢖ࢬ㸪࡞ࡽࡧࢆ᤼㝖ࡍࡿᶵ⬟ࢆ㏣ຍࡋࡓ㸬௨ୗ࡟ᥦ᱌ᡭἲ࡟⏬ീࡢゎീᗘ(㢦㡿ᇦࡢࢧ࢖ࢬ)࡟ᑐࡢฎ⌮ᡭ㡰ࢆ♧ࡍ㸬7)ࡋ࡚㡹ᙉ࡞ Haar-like ≉ᚩ ࢆ⏝࠸࡚1) CPN ࢆ⏝࠸࡚ึᮇᏛ⩦ࢹ࣮ࢱࢆᏛ⩦㢦ࡢ᳨ฟࢆ⾜࠸㸪8096pixel ࡢࢧ࢖ࡋ㸪⾲᝟≉ᚩ✵㛫ࢆ⏕ᡂࡍࡿ㸬ࢬ࡟ṇつ໬ࡋࡓ㢦㡿ᇦ⏬ീࢆᢳฟࡋࡓ㸬2) ⾲ ᝟ ≉ ᚩ ✵ 㛫 ࡢ ྛ ࣘ ࢽ ࢵ ࢺ ࡟2) ⾲᝟ㄆ㆑ࣔࢹࣝࡢᏛ⩦ฎ⌮ࢆ㧗㏿໬ࡍ
Fuzzy-ART ࢆ㐃⤖ࡋ㸪ྛࣘࢽࢵࢺࡢ⤖ྜⲴ㔜ࢆ Fuzzy-ART ࡢึᮇ࢝ࢸࢦࣜ࡜ࡋ࡚タᐃࡍࡿ㸬3) ㏣ຍᏛ⩦ࢹ࣮ࢱࢆ⾲᝟≉ᚩ✵㛫࡟ධຊࡋ㸪຾⪅ࣘࢽࢵࢺࢆ᥈⣴(⾲᝟ㄆ㆑ฎ⌮)ࡍࡿ㸬4) ຾⪅ࣘࢽࢵࢺୖࡢ Fuzzy-ART ࡀ᭷ࡍࡿ᪤Ꮡ࢝ࢸࢦࣜ࡜㸪ධຊࡋࡓ㏣ຍᏛ⩦ࢹ࣮ࢱࡢᩚྜᗘࢆ⟬ฟࡋ㸪್࡟ᛂࡌࡓ㆙ᡄࣃ࣓࣮ࣛࢱࡢࡋࡁ࠸್ุᐃࡢ⤖ᯝ࠿ࡽ㸪㏣ຍᏛ⩦ฎ⌮(⤖ྜⲴ㔜᭦᪂㸪᪂つ࢝ࢸࢦࣜ⏕ᡂ㸪༷ୗ)ࢆᐇ᪋ࡍࡿ㸬5) ㏣ຍᏛ⩦ࢆ୍ᐃᮇ㛫ᐇ᪋ࡋࡓᚋ㸪⾲᝟≉ᚩ✵㛫ࡀ᭷ࡍࡿ᪤Ꮡࡢ⾲᝟࢝ࢸࢦࣜ࠾ࡼࡧ Fuzzy-ART ࡀ᭷ࡍࡿ᪂つࡢ⾲᝟࢝ࢸࢦࣜࢆᏛ⩦ࢹ࣮ࢱ࡜ࡋ㸪෌Ꮫ⩦࡟ࡼࡾ⾲᝟≉ᚩ✵㛫ࢆ᭦᪂ࡍࡿ㸬

Table.1 ᐇ㦂 1 ࡛⏝࠸ࡓྛࣃ࣓࣮ࣛࢱ
Parameters used for experiment 1.

ึᮇᏛ⩦
(CPN)

㏣ຍᏛ⩦(Fuzzy-ART)4048

ึᮇᏛ⩦ࢹ࣮ࢱᩘ(ᯛ)

100(႐ࡧ 50,↓⾲᝟ 50)

Ꮫ⩦ᅇᩘ

20000

Ꮫ⩦⋡ಀᩘ

0.5

⾲᝟≉ᚩ✵㛫ࢧ࢖ࢬ1 ḟඖ
30,40,50㏣ຍᏛ⩦ࢹ࣮ࢱᩘ(ᯛ)

200(႐ࡧ)㆙ᡄࣃ࣓࣮ࣛࢱ(P1,P2)(0.98,0.96)

Table.2 ᐇ㦂 2 ࡛⏝࠸ࡓྛࣃ࣓࣮ࣛࢱ
Parameters used for experiment 2.

ึᮇᏛ⩦
(CPN)

4㸬ᐇ㦂ᡭἲ ࡣࡌࡵ࡟㸪ᥦ᱌ᡭἲ࡟࠾ࡅࡿ㐺ᛂᏛ⩦ᶵ⬟ࡢຠᯝࢆ᳨ドࡍࡿࡓࡵࡢᇶ♏ᐇ㦂ࢆ⾜ࡗࡓ( ᐇ 㦂 1) 㸬 ᐇ 㦂 ࡛ ⏝ ࠸ ࡓ CPN ࠾ ࡼ ࡧFuzzy-ART ࡢྛࣃ࣓࣮ࣛࢱࢆ⾲ 1 ࡟♧ࡍ㸬
 ㏣ຍᏛ⩦ࡢຠᯝࢆ᳨ドࡋࡸࡍࡃࡍࡿࡓࡵ㸪ึᮇᏛ⩦ࢹ࣮ࢱࢆ↓⾲᝟࡜႐ࡧࡢ 2 ⾲᝟࡛ᵓᡂࡋ㸪㏣ຍᏛ⩦ࢹ࣮ࢱ࡟ࡣᚎࠎ࡟ཱྀࢆ㛤࠸࡚࠸ࡃ႐ࡧ⾲᝟ࢆ౑⏝ࡋࡓ㸬ึᮇᏛ⩦ࢹ࣮ࢱࢆ⏝࠸࡚ึᮇ⾲᝟≉ᚩ✵㛫ࢆ⏕ᡂࡋ㸪㏣ຍᏛ
⩦ࢹ࣮ࢱࢆ⏝࠸࡚෌Ꮫ⩦ࢆ 30 ᅇᐇ᪋ࡋࡓ㸬⏕ᡂࡉࢀࡓ⾲᝟≉ᚩ✵㛫࠾ࡼࡧ෌Ꮫ⩦ࡈ࡜
ࡢ㏣ຍᏛ⩦ฎ⌮Ⓨ⏕ᅇᩘ࡟╔┠ࡋ㸪㏣ຍᏛ⩦ᶵ⬟ࡢ᳨ドࢆ⾜ࡗࡓ㸬 ḟ࡟㸪᫬㛫⤒㐣࡟కࡗ࡚ฟ⌧ࡍࡿከᵝ࡞ࣃࢱ࣮ࣥࢆ⪃៖ࡋ㸪㛗ᮇ㛫࡟ࢃࡓࡗ࡚ྲྀᚓࡋࡓ⾲᝟⏬ീࢆ⏝࠸᳨࡚ドࢆ⾜ࡗࡓ(ᐇ㦂 2)㸬ᐇ㦂࡛⏝࠸ࡓྛࣃ࣓࣮ࣛࢱࢆ⾲ 2 ࡟♧ࡍ㸬⾲᝟⏬ീࡢྲྀᚓ᪥ᩘࡣ 22 ᪥㛫࡛࠶ࡾ㸪ึ᪥ࡢ⏬ീࢆึᮇᏛ⩦ࢹ࣮ࢱ㸪௨㝆ࡢ 21 ᪥ศࡢ⏬ീࢆ㏣ຍᏛ⩦ࢹ࣮ࢱ࡜ࡋ࡚᫬㛫⤒㐣ࢆ⪃៖ࡋࡓࢹ࣮ࢱࢭࢵࢺࢆసᡂࡋࡓ㸬⾲᝟≉ᚩ✵㛫ࢆ⏕ᡂࡍࡿ㝿ࡣ㸪႐ࡧ⾲᝟࡜↓⾲᝟ࡢᏛ⩦ᅇᩘࡀྠ⛬ᗘ࡜࡞ࡿࡼ࠺࡟Ꮫ⩦ࢆ⾜ࡗࡓ㸬ึᮇᏛ⩦ࢹ࣮ࢱࢆ⏝࠸࡚ึᮇ⾲᝟≉ᚩ✵㛫ࢆ⏕ᡂࡋ㸪௨㝆ࡣ 1 ᪥ศࡈ࡜ࡢࢹ࣮ࢱࢆ෌Ꮫ⩦ࡍࡿࡇ࡜࡟ࡼࡾ⾲᝟≉ᚩ✵㛫ࢆ⏕ᡂࡋࡓ㸬ࡑࡢᚋ㸪⏕ᡂࡉࢀࡓ⾲᝟≉ᚩ✵㛫(㆑ูჾ)࡟
ᑐࡋ࡚඲࡚ࡢ㏣ຍᏛ⩦ࢹ࣮ࢱ(900 ᯛ21᪥)ࢆホ౯ࢹ࣮ࢱ࡜ࡋ࡚ධຊࡋ㸪㏣ຍᏛ⩦ฎ⏬ീࢹ࣮ࢱࢧ࢖ࢬ(pixel)㏣ຍᏛ⩦(Fuzzy-ART)⏬ീࢹ࣮ࢱࢧ࢖ࢬ(pixel)

4048ึᮇᏛ⩦ࢹ࣮ࢱᩘ(ᯛ)

845(႐ࡧ593,↓⾲᝟252)

Ꮫ⩦ᅇᩘ

20000

Ꮫ⩦⋡ಀᩘ

0.5⾲᝟≉ᚩ✵㛫ࢧ࢖ࢬ

1 ḟඖ
30,40,50㏣ຍᏛ⩦ࢹ࣮ࢱᩘ(ᯛ)

18900(90021 ᪥)

㆙ᡄࣃ࣓࣮ࣛࢱ(P1,P2)(0.98,0.96)⌮Ⓨ⏕ᅇᩘ࡟╔┠ࡋ࡚㏣ຍᏛ⩦ᶵ⬟ࡢ᳨ドࢆ⾜ࡗࡓ㸬ᐇ㦂 2 ࡢ㏣ຍᏛ⩦࡛ࡣ㸪ಶࠎࡢ㏣ຍᏛ⩦ࢹ࣮ࢱࡢᏛ⩦ᅇᩘࡀ 1 ᅇࡢࡳ࡛࠶ࡿࡓࡵ㸪ಶࠎࡢࢹ࣮ࢱࢭࢵࢺࡢ≉ᚩࢆ༑ศ࡟Ꮫ⩦ࡋࡁࢀ࡞࠸ࡇ࡜ࡀண᝿ࡉࢀࡿ㸬ࡑࡇ࡛㸪1 ᅇࡢ㏣ຍᏛ⩦࡟࠾࠸࡚㏣ຍᏛ⩦ࢹ࣮ࢱࢆ」ᩘᅇᏛ⩦ࡋࡓ᮲௳ୗ࡟࠾࠸࡚㸪ྠᵝࡢ᳨ウࢆ⾜ࡗࡓ(ᐇ㦂 3)㸬
࡞࠾㸪ୖグࡢᐇ㦂 2 ࠾ࡼࡧᐇ㦂 3 ࡟࠾࠸࡚21 ᪥ศࡢ㏣ຍᏛ⩦ࢹ࣮ࢱࢆධຊࡋࡓ࡜ࡇࢁ㸪
21 ᪥┠࡜ 22 ᪥┠ࡢ㏣ຍᏛ⩦ࢹ࣮ࢱࡣࡍ࡭࡚
༷ୗࡉࢀࡓ㸬ࡋࡓࡀࡗ࡚㸪ึᮇᏛ⩦࠾ࡼࡧ෌Ꮫ⩦࡟ࡼࡗ࡚⏕ᡂࡉࢀࡓ⾲᝟≉ᚩ✵㛫(㆑ูჾ)ࡣ 19 ಶ࡛࠶ࡿ㸬5㸬ᐇ㦂⤖ᯝ࠾ࡼࡧ᳨ウ
5.1 ㏣ຍᏛ⩦ᶵ⬟ࡢᇶ♏᳨ド ᐇ㦂 1 ࡟࠾࠸࡚㸪⾲᝟≉ᚩ✵㛫ࡢࢧ࢖ࢬࢆ
1 ḟඖ 30 ࣘࢽࢵࢺ࡜ࡋࡓሙྜࡢ≉ᚩ✵㛫ࡢྍど໬⤖ᯝࢆᅗ 2 ࡟♧ࡍ㸬ྠᅗࡣึᮇᏛ⩦㸪෌Ꮫ⩦ 1 ᅇ┠㸪12 ᅇ┠㸪30 ᅇ┠ࡢ⾲᝟≉ᚩ✵㛫ࢆ♧ࡋ࡚࠾ࡾ㸪ᅗ୰ࡢ⥳Ⰽࡢࣘࢽࢵࢺࡣ႐ࡧ⾲᝟㸪᱈Ⰽࡢࣘࢽࢵࢺࡣ↓⾲᝟ࢆࡑࢀࡒࢀព࿡ࡋ࡚࠸ࡿ㸬㏣ຍᏛ⩦ࢆ㔜ࡡࡿࡈ࡜࡟㸪ᚎࠎ࡟ཱྀࢆ኱ࡁࡃ㛤࠸ࡓ႐ࡧ⾲᝟ࡀ⌧ࢃࢀ࡚࠸ࡿࡇ࡜ࡀࢃ࠿ࡿ㸬ࡲࡓ㸪ึᮇ⾲᝟≉ᚩ✵㛫࡟⾲⌧ࡉࢀ࡚࠸ࡿ⾲᝟ࣃࢱ࣮ࣥࡣ㸪෌Ꮫ⩦ࢆ⤒ࡓᚋࡶྠᵝ࡟⾲᝟≉ᚩ✵㛫ෆ࡟ಖᣢࡉࢀ࡚࠸ࡿࡇ࡜ࡀࢃ࠿ࡿ㸬 ⾲᝟≉ᚩ✵㛫ࡢࢧ࢖ࢬࢆ 1 ḟඖ 50 ࣘࢽࢵࢺ࡜ࡋࡓሙྜࡢ෌Ꮫ⩦ᅇᩘࡈ࡜ࡢ㏣ຍᏛ⩦ฎ⌮Ⓨ⏕ᅇᩘࢆᅗ 3 ࡟♧ࡍ㸬⤖ྜⲴ㔜᭦᪂ฎ⌮㸪᪂つ࢝ࢸࢦࣜ⏕ᡂฎ⌮ࡢⓎ⏕ᅇᩘࡣ㸪෌Ꮫ⩦ࢆ㔜ࡡࡿࡈ࡜࡟⦆ࡸ࠿࡟ቑຍࡋ㸪཰᮰ࡋ࡚࠸ࡿ㸬୍᪉㸪༷ୗฎ⌮ࡢⓎ⏕ᅇᩘࡣ㸪෌Ꮫ⩦ࢆ㔜ࡡࡿࡈ࡜࡟⦆ࡸ࠿࡟ῶᑡࡋ㸪཰᮰ࡋ࡚࠸ࡿࡇ࡜ࡀࢃ࠿ࡿ㸬 ௨ୖࡢ⤖ᯝࡣ㸪ᥦ᱌ᡭἲࡀึᮇ࡟Ꮫ⩦ࡋࡓ⾲᝟ࣃࢱ࣮ࣥࢆಖᣢࡋࡘࡘ㸪᪂ࡓ࡞⾲᝟ࣃࢱ
࣮ࣥࢆ㏣ຍⓗ࡟Ꮫ⩦ྍ⬟࡛࠶ࡿࡇ࡜ࢆ♧၀ࡋ࡚࠸ࡿ㸬

5.2 㛗ᮇⓗࢹ࣮ࢱ࡟ࡼࡿ㏣ຍᏛ⩦ࡢ᳨ド ᐇ㦂 2 ࡟࠾ࡅࡿ෌Ꮫ⩦ᅇᩘࡈ࡜ࡢ㏣ຍᏛ⩦ฎ⌮ࡢⓎ⏕ᅇᩘࢆᅗ 4 ࡟♧ࡍ㸬⾲᝟≉ᚩ✵㛫ࡢࢧ࢖ࢬࡣ 1 ḟඖ 50 ࣘࢽࢵࢺ࡛࠶ࡿ㸬ྛ㆑ูჾ࡟࠾ࡅࡿ㏣ຍᏛ⩦ฎ⌮Ⓨ⏕ᅇᩘ࡟ࡣ㸪ࡤࡽࡘࡁࡀㄆࡵࡽࢀࡓ㸬ࡇࢀࡣ㸪᫬㛫⤒㐣࡟ࡼࡿ⾲᝟ࣃࢱ࣮ࣥࢆ⪃៖ࡋ㸪㏣ຍᏛ⩦ࢹ࣮ࢱ࡜ࡋ࡚␗࡞ࡿ 21 ᪥ศࡢࢹ࣮ࢱࢆ⏝࠸ࡓࡓࡵ࡜⪃࠼ࡿ㸬ྠᅗࡢ⤖ᯝ࠿ࡽࡣ㏣ຍᏛ⩦ࡢ᳨ドࡀᅔ㞴࡛࠶ࡿࡓࡵ㸪ᮏ⠇࡛ࡣಶࠎࡢ㏣ຍᏛ⩦ࢹ࣮ࢱ࡟╔┠ࡋࡓ᳨ドࢆ⾜ࡗࡓ㸬෌Ꮫ⩦ࢆ㔜
ࡡࡓ 19 ಶࡢ⾲᝟≉ᚩ✵㛫࡟㸪1 ᪥┠㸪7 ᪥┠㸪19 ᪥┠ࡢ㏣ຍᏛ⩦ࢹ࣮ࢱࢆධຊࡋࡓሙ
ྜࡢ㏣ຍᏛ⩦ฎ⌮Ⓨ⏕ᅇᩘࢆᅗ 5 ࡟♧ࡍ㸬 ྠᅗ(a)㸪(b)㸪(c)ࢆẚ㍑ࡍࡿ࡜㸪࠸ࡎࢀࡶ㏣ຍᏛ⩦ࢹ࣮ࢱ࡟ᑐᛂࡍࡿ㆑ูჾ࡟࠾࠸࡚
⤖ྜⲴ㔜᭦᪂࠾ࡼࡧ᪂つ࢝ࢸࢦࣜ⏕ᡂฎ⌮ࡀቑຍࡋ㸪༷ୗฎ⌮ࡀῶᑡࡋ࡚࠸ࡿࡇ࡜ࡀࢃ
࠿ࡿ㸬౛࠼ࡤ㸪7 ᪥┠ࡢ㏣ຍᏛ⩦ࢹ࣮ࢱ࡟ᑐ
ࡋ࡚ࡣ㸪7 ᪥┠ࡢ෌Ꮫ⩦ᚋࡢ⾲᝟≉ᚩ✵㛫࡟࠾࠸࡚⤖ྜⲴ㔜᭦᪂࠾ࡼࡧ᪂つ࢝ࢸࢦࣜ⏕ᡂฎ⌮ࡀቑຍࡋ࡚࠸ࡿ㸬ࡇࡢࡇ࡜ࡣ㸪㏣ຍᏛ
⩦ࢹ࣮ࢱࡣᑐᛂࡋࡓ᪥࡟ࡕࡢ㏣ຍᏛ⩦࣭෌Ꮫ⩦࡟࠾࠸࡚ṇࡋࡃᏛ⩦ࡉࢀ࡚࠸ࡿࡇ࡜ࢆ♧၀ࡋ࡚࠸ࡿ㸬 ୍᪉㸪7 ᪥┠ࡢ㏣ຍᏛ⩦ࢹ࣮ࢱࢆධຊࡋࡓ
ሙྜ(ᅗ 5(b))࡟╔┠ࡍࡿ࡜㸪㏣ຍᏛ⩦ࡢ᪥࡟(a) ึᮇ≧ែ(b) ෌Ꮫ⩦ 1 ᅇ┠(c) ෌Ꮫ⩦ 12 ᅇ┠(d) ෌Ꮫ⩦ 30 ᅇ┠

Fig.2 ⾲᝟≉ᚩ✵㛫
Facial expression feature space

Fig.3 ㏣ຍᏛ⩦ฎ⌮Ⓨ⏕ᅇᩘ(ᐇ㦂 1)
Frequency of incremental learning
processing (experiment 1)

Fig.4 ㏣ຍᏛ⩦ฎ⌮Ⓨ⏕ᅇᩘ(ᐇ㦂 2)
Frequency of incremental learning
processing (experiment 2)
ࡕ(ࡇࡇ࡛ࡣ෌Ꮫ⩦ᅇᩘ 7 ᅇ┠)௨㝆࡟㸪⤖ྜⲴ㔜᭦᪂࠾ࡼࡧ᪂つ࢝ࢸࢦࣜ⏕ᡂฎ⌮ࡢᅇᩘࡀᚎࠎ࡟ῶᑡࡋ࡚࠸ࡿࡇ࡜ࡀࢃ࠿ࡿ㸬ࡇࡢࡇ࡜ࡣ㸪Ꮫ⩦ࡋࡓ▱㆑ࡀ෌Ꮫ⩦ࢆ㔜ࡡࡿࡈ࡜࡟ᚎࠎ࡟ᛀ༷ࡉࢀ࡚࠸ࡿࡇ࡜ࢆ♧၀ࡋ࡚࠸ࡿ㸬

5.3 」ᩘᅇࡢ㏣ຍᏛ⩦࡟ࡼࡿ᳨ド๓⠇࡛ࡣ㸪㛗ᮇⓗ࡞ࢹ࣮ࢱࢆ⏝࠸࡚㏣ຍᏛ⩦ࢆ⾜ࡗࡓሙྜ㸪Ꮫ⩦ࡋࡓ▱㆑ࡀᛀ༷ࡉࢀ࡚࠸ࡿࡇ࡜ࢆ᫂ࡽ࠿࡟ࡋࡓ㸬ࡇࢀࡣ㸪ᐇ㦂 2
ࡢ㏣ຍᏛ⩦࡛ࡣಶࠎࡢ㏣ຍᏛ⩦ࢹ࣮ࢱࡢᏛ

(a) ㏣ຍᏛ⩦ࢹ࣮ࢱ 1 ᪥┠(a) ㏣ຍᏛ⩦ࢹ࣮ࢱ 1 ᪥┠(b) ㏣ຍᏛ⩦ࢹ࣮ࢱ 7 ᪥┠(b) ㏣ຍᏛ⩦ࢹ࣮ࢱ 7 ᪥┠(c) ㏣ຍᏛ⩦ࢹ࣮ࢱ 19 ᪥┠(c) ㏣ຍᏛ⩦ࢹ࣮ࢱ 19 ᪥┠

Fig.5 ಶࠎࡢ㏣ຍᏛ⩦ࢹ࣮ࢱ࡟╔┠ࡋࡓฎ⌮Ⓨ⏕ᅇᩘ(ᐇ㦂 2)
Frequency of processing in individual
incremental learning data (experiment 2)

Fig.6 ಶࠎࡢ㏣ຍᏛ⩦ࢹ࣮ࢱ࡟╔┠ࡋࡓฎ⌮Ⓨ⏕ᅇᩘ(ᐇ㦂 3)
Frequency of processing in individual
incremental learning data (experiment 3)⩦ᅇᩘࡀ 1 ᅇࡢࡳ࡛࠶ࡾ㸪ಶࠎࡢࢹ࣮ࢱࢭࢵ
ࢺࡢ≉ᚩࢆ༑ศ࡟Ꮫ⩦ࡋࡁࢀ࡞࠸ࡓࡵ࡜⪃࠼ࡿ㸬ࡑࡇ࡛ 1 ᅇࡢ㏣ຍᏛ⩦࡟࠾࠸࡚㏣ຍᏛ
⩦ࢹ࣮ࢱࢆ」ᩘᅇᏛ⩦ࡋࡓሙྜ࡟ࡘ࠸࡚㸪๓⠇࡜ྠᵝࡢ᳨ウࢆຍ࠼ࡓ㸬 ෌Ꮫ⩦ࢆ㔜ࡡࡓ 19 ಶࡢ⾲᝟≉ᚩ✵㛫࡟㸪
1 ᪥┠㸪7 ᪥┠㸪19 ᪥┠ࡢ㏣ຍᏛ⩦ࢹ࣮ࢱࢆධຊࡋࡓሙྜࡢ㏣ຍᏛ⩦ฎ⌮Ⓨ⏕ᅇᩘࢆᅗ
6 ࡟♧ࡍ㸬1 ᪥ศࡢ㏣ຍᏛ⩦ࢹ࣮ࢱࢆ」ᩘᅇ
㏣ຍᏛ⩦ࡉࡏࡓ⤖ᯝ㸪ᑐᛂࡍࡿ㆑ูჾࡢ༷ୗฎ⌮ࡀࡉࡽ࡟ῶᑡࡍࡿഴྥࡀㄆࡵࡽࢀࡿ㸬ࡇࡢࡇ࡜ࡣ㸪㏣ຍᏛ⩦ࡀ 1 ᅇࡢሙྜ࡜ẚ㍑ࡋ㸪ಶࠎࡢࢹ࣮ࢱࢭࢵࢺࡢ≉ᚩࡀᙉࡃᏛ⩦ࡉࢀ࡚࠸ࡿࡇ࡜ࢆ♧၀ࡋ࡚࠸ࡿ㸬ࡋ࠿ࡋ࡞ࡀࡽ㸪ᅗ 5(ᐇ㦂 2)࡛ࡣ༷ୗฎ⌮ࡀᚎࠎ࡟ቑຍࡋ࡚࠸ࡿࡢ࡟ᑐࡋ㸪ᅗ 6(ᐇ㦂 3)࡛ࡣᛴ⃭࡟ቑຍࡍࡿᵝᏊࡀㄆࡵࡽࢀࡓ㸬ࡇࡢࡇ࡜ࡣ㸪ಶࠎࡢ
㏣ຍᏛ⩦ࢹ࣮ࢱࡢᏛ⩦ࡀᙉࡃ཯ᫎࡉࢀࡓࡓ
ࡵ㸪௚ࡢ㏣ຍᏛ⩦ࢹ࣮ࢱ࡟ᑐࡍࡿỗ໬⬟ຊࡀపୗࡋࡓࡇ࡜ࢆ♧၀ࡋ࡚࠸ࡿ㸬

6㸬࠾ࢃࡾ࡟ ᮏ✏࡛ࡣ㸪᫬㛫㍈࡟㡹ᙉᛶࢆ᭷ࡍࡿ⾲᝟ㄆ㆑ࣔࢹࣝࡢᐇ⌧ࢆ┠ⓗ࡜ࡋ㸪Fuzzy-ART ࢆ⏝࠸ࡓ㐺ᛂᏛ⩦ᶵ⬟ࢆ᭷ࡍࡿ⾲᝟ㄆ㆑ࣔࢹࣝ࡟㛵ࡋ࡚ᇶ♏᳨ウࢆ⾜ࡗࡓ㸬ࡣࡌࡵ࡟㸪↓⾲᝟࡜႐ࡧࡢ 2 ⾲᝟ࢆ⏝࠸࡚⾲᝟≉ᚩ✵㛫ࢆ⏕ᡂࡋ㸪෌Ꮫ⩦ࡈ࡜ࡢ㏣ຍᏛ⩦ฎ⌮Ⓨ⏕ᅇᩘ࡟╔┠ࡋ࡚㏣ຍᏛ⩦ᶵ⬟ࡢ᳨ドࢆ⾜ࡗࡓ㸬ࡲࡓ㸪᫬㛫⤒㐣࡟కࡗ࡚ฟ⌧ࡍࡿከᵝ࡞ࣃࢱ࣮ࣥࢆ⪃៖ࡋ㸪㛗ᮇ㛫࡟ࢃࡓࡗ࡚ྲྀᚓࡋࡓ⾲᝟⏬ീࢆ⏝࠸࡚㏣ຍᏛ⩦ᶵ⬟ࡢ᳨ドࢆ⾜ࡗࡓ㸬ࡑࡢ⤖ᯝ㸪ᥦ᱌ᡭἲࡣึᮇ࡟Ꮫ⩦ࡋࡓ⾲᝟ࣃࢱ࣮ࣥࢆಖᣢࡋࡘࡘ㸪᪂ࡓ࡞⾲᝟ࣃࢱ࣮ࣥࢆ㏣ຍⓗ࡟Ꮫ⩦ྍ⬟࡛࠶ࡿࡇ࡜ࢆ᫂ࡽ࠿࡟ࡋࡓ㸬ࡉࡽ࡟㸪Ꮫ⩦ࡋࡓ▱㆑ࡣ㛗ᮇⓗ࡞෌Ꮫ⩦ࢆ㔜ࡡࡿࡈ࡜࡟ᚎࠎ࡟ᛀ༷ࡉࢀ࡚࠸ࡃࡇ࡜ࢆ᫂ࡽ࠿࡟ࡋࡓ㸬 ḟ࡟㸪㏣ຍᏛ⩦࡛⋓ᚓࡋࡓ▱㆑ࡢ㛗ᮇⓗ࡞ಖᣢࢆ┠ⓗ࡜ࡋ㸪」ᩘᅇࡢ㏣ຍᏛ⩦ࢆ⾜ࡗࡓ
ሙྜࡢ㏣ຍᏛ⩦ᶵ⬟࡟ࡘ࠸᳨࡚ドࢆ⾜ࡗࡓ㸬ࡑࡢ⤖ᯝ㸪㏣ຍᏛ⩦ࡀ 1 ᅇࡢሙྜ࡜ẚ㍑ࡋ࡚
ಶࠎࡢࢹ࣮ࢱࢭࢵࢺࡢ≉ᚩࡀᙉࡃᏛ⩦ࡉࢀࡓࡶࡢࡢ㸪⾲᝟≉ᚩ✵㛫ࡢỗ໬⬟ຊࡣపୗࡍࡿࡇ࡜ࡀ᫂ࡽ࠿࡟࡞ࡗࡓ㸬 ௒ᚋࡣ㸪㏣ຍᏛ⩦࡟ࡼࡗ࡚ᚓࡓ▱㆑ࡢ㛗ᮇⓗ࡞ಖᣢࢆ┠ⓗ࡜ࡋ㸪⾲᝟≉ᚩ✵㛫ࡢ᭱㐺࡞ࢧ࢖ࢬࡢ⮬ືỴᐃᡭἲ࠾ࡼࡧ㏣ຍᏛ⩦࡟⏝࠸ࡿ㆙ᡄࣃ࣓࣮ࣛࢱࡢ⮬ືタᐃᡭἲ࡟㛵ࡋ᳨࡚ウࢆ⾜࠺ணᐃ࡛࠶ࡿ㸬ཧ⪃ᩥ⊩1) ㉥ᯇⱱ, ͆ே㛫࡜ࢥࣥࣆ࣮ࣗࢱ࡟ࡼࡿ㢦⾲᝟ࡢㄆ㆑[Ϩ]-ࢥ࣑ࣗࢽࢣ࣮ࢩࣙࣥ࡟࠾ࡅࡿ⾲᝟࡜ࢥࣥࣆ࣮ࣗࢱ࡟ࡼࡿࡑࡢ⮬ືゎᯒ-͇,ಙᏛㄅ, Vol. 85, No. 9, pp. 680-685, 2002.
2) ㉥ᯇⱱ, ͆ே㛫࡜ࢥࣥࣆ࣮ࣗࢱ࡟ࡼࡿ㢦⾲᝟ࡢㄆ㆑[ϩ]-ࢥࣥࣆ࣮ࣗࢱ࡟ࡼࡿ㢦⾲᝟ㄆ㆑ᢏ⾡(1):⾲᝟࡟ࡼࡿឤ᝟ࡢㄆ㆑-͇, ಙᏛㄅ,Vol. 85, No. 10, pp. 766-771, 2002.
3) ㉥ᯇⱱ, ͆ே㛫࡜ࢥࣥࣆ࣮ࣗࢱ࡟ࡼࡿ㢦⾲᝟ࡢㄆ㆑[Ϫ]-ࢥࣥࣆ࣮ࣗࢱ࡟ࡼࡿ㢦⾲᝟ㄆ㆑ᢏ⾡(2):㢦㠃ࡢ⾲᝟ືసࡢㄆ㆑-͇, ಙᏛㄅ,Vol. 85, No. 12, pp. 936-941, 2002.
4) ㉥ᯇⱱ, ͆ே㛫࡜ࢥࣥࣆ࣮ࣗࢱ࡟ࡼࡿ㢦⾲᝟ࡢㄆ㆑[ϫ࣭᏶]-ࢥࣥࣆ࣮ࣗࢱ࡟ࡼࡿ㢦⾲᝟ㄆ㆑ࡢᒎᮃ:ே㛫࡟ࡼࡿ⾲᝟ㄆ▱࡟Ꮫࡪ-͇,ಙᏛㄅ, Vol. 86, No. 1, pp. 54-61, 2002.
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