情報処理学会研究報告 IPSJ SIG Technical Report Vol.2011-MBL-57 No.27 Vol.2011-UBI-29 No /3/ A Consideration of Features for Fatigue Es

Similar documents
TF-IDF TDF-IDF TDF-IDF Extracting Impression of Sightseeing Spots from Blogs for Supporting Selection of Spots to Visit in Travel Sat

1 Fig. 1 Extraction of motion,.,,, 4,,, 3., 1, 2. 2.,. CHLAC,. 2.1,. (256 ).,., CHLAC. CHLAC, HLAC. 2.3 (HLAC ) r,.,. HLAC. N. 2 HLAC Fig. 2

1., 1 COOKPAD 2, Web.,,,,,,.,, [1]., 5.,, [2].,,.,.,, 5, [3].,,,.,, [4], 33,.,,.,,.. 2.,, 3.., 4., 5., ,. 1.,,., 2.,. 1,,

日本感性工学会論文誌

DPA,, ShareLog 3) 4) 2.2 Strino Strino STRain-based user Interface with tacticle of elastic Natural ObjectsStrino 1 Strino ) PC Log-Log (2007 6)


1: A/B/C/D Fig. 1 Modeling Based on Difference in Agitation Method artisoc[7] A D 2017 Information Processing

【HP用】26.12月号indd.indd

26.2月号indd.indd

26.1月号indd.indd

(MIRU2008) HOG Histograms of Oriented Gradients (HOG)

a) Extraction of Similarities and Differences in Human Behavior Using Singular Value Decomposition Kenichi MISHIMA, Sayaka KANATA, Hiroaki NAKANISHI a

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

A B ( +A+B) H g H27 H28 H29 H30 189, , , , , , , , ,

1 Web [2] Web [3] [4] [5], [6] [7] [8] S.W. [9] 3. MeetingShelf Web MeetingShelf MeetingShelf (1) (2) (3) (4) (5) Web MeetingShelf

Web Stamps 96 KJ Stamps Web Vol 8, No 1, 2004

IPSJ SIG Technical Report An Evaluation Method for the Degree of Strain of an Action Scene Mao Kuroda, 1 Takeshi Takai 1 and Takashi Matsuyama 1

兵庫県立大学学報vol.17


Vol.55 No (Jan. 2014) saccess 6 saccess 7 saccess 2. [3] p.33 * B (A) (B) (C) (D) (E) (F) *1 [3], [4] Web PDF a m

Gaze Head Eye (a) deg (b) 45 deg (c) 9 deg 1: - 1(b) - [5], [6] [7] Stahl [8], [9] Fang [1], [11] Itti [12] Itti [13] [7] Fang [1],

149 (Newell [5]) Newell [5], [1], [1], [11] Li,Ryu, and Song [2], [11] Li,Ryu, and Song [2], [1] 1) 2) ( ) ( ) 3) T : 2 a : 3 a 1 :

Vol.11-HCI-15 No. 11//1 Xangle 5 Xangle 7. 5 Ubi-WA Finger-Mount 9 Digitrack 11 1 Fig. 1 Pointing operations with our method Xangle Xa

IPSJ SIG Technical Report Vol.2009-DPS-141 No.20 Vol.2009-GN-73 No.20 Vol.2009-EIP-46 No /11/27 1. MIERUKEN 1 2 MIERUKEN MIERUKEN MIERUKEN: Spe

IPSJ SIG Technical Report Vol.2011-EC-19 No /3/ ,.,., Peg-Scope Viewer,,.,,,,. Utilization of Watching Logs for Support of Multi-

1(a) (b),(c) - [5], [6] Itti [12] [13] gaze eyeball head 2: [time] [7] Stahl [8], [9] Fang [1], [11] 3 -

Vol. No. Honda, et al.,

Modal Phrase MP because but 2 IP Inflection Phrase IP as long as if IP 3 VP Verb Phrase VP while before [ MP MP [ IP IP [ VP VP ]]] [ MP [ IP [ VP ]]]

Fig. 2 Signal plane divided into cell of DWT Fig. 1 Schematic diagram for the monitoring system

日本感性工学会論文誌

IPSJ SIG Technical Report Vol.2011-MUS-91 No /7/ , 3 1 Design and Implementation on a System for Learning Songs by Presenting Musical St

The copyright of this material is retained by the Information Processing Society of Japan (IPSJ). The material has been made available on the website

1_26.dvi

& Vol.5 No (Oct. 2015) TV 1,2,a) , Augmented TV TV AR Augmented Reality 3DCG TV Estimation of TV Screen Position and Ro

IPSJ SIG Technical Report Vol.2009-DPS-141 No.23 Vol.2009-GN-73 No.23 Vol.2009-EIP-46 No /11/27 t-room t-room 2 Development of

IPSJ SIG Technical Report Vol.2011-UBI-30 No /5/ , 1 1 Evaluation on Effect of Presenting False Information for Biological Information Vi

Stepwise Chow Test * Chow Test Chow Test Stepwise Chow Test Stepwise Chow Test Stepwise Chow Test Riddell Riddell first step second step sub-step Step

IPSJ SIG Technical Report Vol.2012-HCI-149 No /7/20 1 1,2 1 (HMD: Head Mounted Display) HMD HMD,,,, An Information Presentation Method for Weara

第６２巻　第１号　平成２４年４月／石こうを用いた木材ペレット

3_23.dvi


2). 3) 4) 1.2 NICTNICT DCRA Dihedral Corner Reflector micro-arraysdcra DCRA DCRA DCRA 3D DCRA PC USB PC PC ON / OFF Velleman K8055 K8055 K8055

IPSJ SIG Technical Report Vol.2012-CG-148 No /8/29 3DCG 1,a) On rigid body animation taking into account the 3D computer graphics came

1 UD Fig. 1 Concept of UD tourist information system. 1 ()KDDI UD 7) ) UD c 2010 Information Processing S

00hyoshi

Q [4] 2. [3] [5] ϵ- Q Q CO CO [4] Q Q [1] i = X ln n i + C (1) n i i n n i i i n i = n X i i C exploration exploitation [4] Q Q Q ϵ 1 ϵ 3. [3] [5] [4]

IPSJ SIG Technical Report Vol.2011-MUS-90 No /5/ , 3 1 Design and Implementation of a Drumstick with Stroke Recognition Function for Inte

IPSJ SIG Technical Report , 2 Andorid Capture-A-Moment Capture-A-Moment Capturing System by SmartPhone to Record Real-Time Scene Kohei Takada,

百人一首かるた選手の競技時の脳の情報処理に関する研究

HP cafe HP of A A B of C C Map on N th Floor coupon A cafe coupon B Poster A Poster A Poster B Poster B Case 1 Show HP of each company on a user scree

STSNJ NL

Microsoft Word - toyoshima-deim2011.doc

DEIM Forum 2010 A Web Abstract Classification Method for Revie

IPSJ SIG Technical Report Vol.2009-BIO-17 No /5/26 DNA 1 1 DNA DNA DNA DNA Correcting read errors on DNA sequences determined by Pyrosequencing

ID 3) 9 4) 5) ID 2 ID 2 ID 2 Bluetooth ID 2 SRCid1 DSTid2 2 id1 id2 ID SRC DST SRC 2 2 ID 2 2 QR 6) 8) 6) QR QR QR QR


知能と情報, Vol.30, No.5, pp

23_02.dvi

Fig. 3 Flow diagram of image processing. Black rectangle in the photo indicates the processing area (128 x 32 pixels).

福岡大学人文論叢47-3

Input image Initialize variables Loop for period of oscillation Update height map Make shade image Change property of image Output image Change time L

26.6月号inddホームページ用.indd

258 5) GPS 1 GPS 6) GPS DP 7) 8) 10) GPS GPS ) GPS Global Positioning System

11.1: 100m (WikiPedia ) ( ) ( ) 11.3 A.V.Hill ( )

Perrett et al.,,,, Fig.,, E I, 76

IPSJ SIG Technical Report Secret Tap Secret Tap Secret Flick 1 An Examination of Icon-based User Authentication Method Using Flick Input for

HASC2012corpus HASC Challenge 2010,2011 HASC2011corpus( 116, 4898), HASC2012corpus( 136, 7668) HASC2012corpus HASC2012corpus

JSIK_KUDO4

2. ICA ICA () (Blind Source Separation BBS) 2) Fig. 1 Model of Optical Topography. ( ) ICA 2.2 ICA ICA 3) n 1 1 x 1 (t) 2 x 2 (t) n x(t) 1 x(t

IPSJ SIG Technical Report Vol.2010-SLDM-144 No.50 Vol.2010-EMB-16 No.50 Vol.2010-MBL-53 No.50 Vol.2010-UBI-25 No /3/27 Twitter IME Twitte


Vol. 48 No. 3 Mar PM PM PMBOK PM PM PM PM PM A Proposal and Its Demonstration of Developing System for Project Managers through University-Indus

e-learning e e e e e-learning 2 Web e-leaning e 4 GP 4 e-learning e-learning e-learning e LMS LMS Internet Navigware

IPSJ SIG Technical Report Vol.2013-GN-87 No /3/ Research of a surround-sound field adjustmen system based on loudspeakers arrangement Ak

< A796BD8AD991E58A77976C2D8CBE8CEA C B B835E2E706466>

3.1 Thalmic Lab Myo * Bluetooth PC Myo 8 RMS RMS t RMS(t) i (i = 1, 2,, 8) 8 SVM libsvm *2 ν-svm 1 Myo 2 8 RMS 3.2 Myo (Root

12) NP 2 MCI MCI 1 START Simple Triage And Rapid Treatment 3) START MCI c 2010 Information Processing Society of Japan

第 10 回 歩行のバイオメカニクス FF:足部水平 足底面がすべて地面に接地すること (Foot Flat) HO:踵離地 踵が地面から離れること (Heel Off) TO つま先離れ つま先が地面から離れること (Toe Off) 上記の定義に気をつけて歩いてみれば 歩行では両足で身体を支持してい

,2 4. [17, 18] : : 102

28 TCG SURF Card recognition using SURF in TCG play video

28 Horizontal angle correction using straight line detection in an equirectangular image

[2] OCR [3], [4] [5] [6] [4], [7] [8], [9] 1 [10] Fig. 1 Current arrangement and size of ruby. 2 Fig. 2 Typography combined with printing

17 Proposal of an Algorithm of Image Extraction and Research on Improvement of a Man-machine Interface of Food Intake Measuring System

( ) fnirs ( ) An analysis of the brain activity during playing video games: comparing master with not master Shingo Hattahara, 1 Nobuto Fuji

IPSJ SIG Technical Report Vol.2011-DBS-153 No /11/3 Wikipedia Wikipedia Wikipedia Extracting Difference Information from Multilingual Wiki

SFCJ2-MisaGrace

JAPAN MARKETING JOURNAL 111 Vol.28 No.32008

JAPAN MARKETING JOURNAL 113 Vol.29 No.12009

JAPAN MARKETING JOURNAL 110 Vol.28 No.22008

_原著03_濱田_責.indd

[4][5] 3 Kinect for Xbox360 Xbox360 Kinect for Windows SDK beta 2 Kinect RGB 800mm 4000mm mm Kinect Kinect Kinect Kinect (Gait recognit

2 3

1 Kinect for Windows M = [X Y Z] T M = [X Y Z ] T f (u,v) w 3.2 [11] [7] u = f X +u Z 0 δ u (X,Y,Z ) (5) v = f Y Z +v 0 δ v (X,Y,Z ) (6) w = Z +

研究論集Vol.16-No.2.indb

IPSJ SIG Technical Report Vol.2010-GN-74 No /1/ , 3 Disaster Training Supporting System Based on Electronic Triage HIROAKI KOJIMA, 1 KU

Vol.54 No (July 2013) [9] [10] [11] [12], [13] 1 Fig. 1 Flowchart of the proposed system. c 2013 Information

Studies of Foot Form for Footwear Design (Part 9) : Characteristics of the Foot Form of Young and Elder Women Based on their Sizes of Ball Joint Girth

3_39.dvi

THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS TECHNICAL REPORT OF IEICE.

1 7.35% 74.0% linefeed point c 200 Information Processing Society of Japan

Transcription:

1 1 1 1 1 5 1 2 1 A Consideration of Features for Fatigue Estimation by Gait Analysis Using Accelerometer Hidekazu Higashi, 1 Tadashi Shigeoka, 1 Tsuyoshi Itokawa, 1 Teruaki Kitasuka 1 and Masayoshi Aritsugi 1 For estimation of fatigue within daily life, we refer acceleration of gaits and try to extract features that represent fatigue from acceleration. Based on the perceptions of existing research, we examine nine features of vertical acceleration of both ankles on gaits. We conduct an experiment with five participants. In the experiment, three sequences of vertical acceleration for each participant are measured prior to twice one-hour ergometer exercises, between the exercises, and posterior to the exercises. As a result, we confirm that five features such as gait cycle, peak acceleration of heel contact, and the average acceleration represent fatigue. 1 Graduate School of Science and Technology, Kumamoto University 1. 1) 2) 2 3 2 4 5 2. 3) 1 1) (a) (b) 4) 1 c 2011 Information Processing Society of Japan

3. 1 6) 3 (c) (d) (e) 5) (f) (g) (h) A: (a) (d) B: (b) C: (e) (f) (g) D: (c) (h) E: (c) (h) 2 A E 2 1 9 4 9 ( 1 ) [ms] (, ) ( 2 ) (, ) ( 3 ) (, ) ( 4 ) [mg] (,, ) ( 5 ) [mg] (,, ) ( 6 ) [mg] (,, ) ( 7 ) 1 [mg] (,, ) ( 8 ) [mg] (,, ) ( 9 ) [ms] (,, ) 1 9 2 1 2 A: ( 1) 1 3) 1 ( 3) 2 c 2011 Information Processing Society of Japan

1 A B C D E 1,3 7 4,5,6,8,9 2 1-9 4-9 2 1 2 3 4 5 6 7 8 9 2 1 (6) ) B. 1 ( 7) C. ( 4) ( 5) ( 6) ( 5 ) 50mG ( 8) ( 9) D. E. 1 ( 2) 4 9 4. 4.1 22 1 5 3 c 2011 Information Processing Society of Japan

3 VAS ( 0H ) 1 1 ( 1H) 2 1 ( 2H) VAS 7) 3 VAS 120 140[bpm] 100m WAA-006 ±4G 100Hz 4.2 20 30 1189 104ms 3 8) 1/3 9) 4.3 3 ( 1), ( 2), ( 6),1 ( 7), ( 8) c 3 c 4 ( 1) a,b,d,e c 4.4 (0H,1H,2H) 30 30 4 11 A ( 2 ) B (0H,1H,2H 3 ) 1 3 B 4 9 A B 10) A.1 6 7 B Ryan A.1 8 3 4 5 8 B: ( ) ( ) ( ) 7 A 4 11 3 4 5 4 c 2011 Information Processing Society of Japan

4 1 5 3 3 1 2 3 4 5 6 7 8 9 0H-1H a 1H-2H 0H-2H 0H-1H b 1H-2H 0H-2H 0H-1H c 1H-2H 0H-2H 0H-1H d 1H-2H 0H-2H 0H-1H e 1H-2H 0H-2H 6 7 A: 1 3 4 5 3 1 a,b,c,d 4 0H-2H 0H-1H 1H-2H c 1H-2H 1 3 e b c a d 3 B. 7 6 3 7 C. 4 5 6 8 7 10 3 4 a,d,e c b 4 5 c 5 6 c 4 5 6 8 a,c b,e,f 8 4.2 6 8 5 5 c 2011 Information Processing Society of Japan

7 4 8 5 9 6 10 8 11 9 4 1 2 3 4 5 6 7 8 9 0H-1H a 1H-2H 0H-2H 0H-1H b 1H-2H 0H-2H 0H-1H c 1H-2H 0H-2H 0H-1H d 1H-2H 0H-2H 0H-1H e 1H-2H 0H-2H D. 1 9 4 11 4 1,3,4,8,9 2,7 6 (1,2,3,9) 7 4 6 6 E. 2 12 3 a,c,e b d 4 9 7 11 5 6,8 4,9 6 c 2011 Information Processing Society of Japan

12 2 5 4 5 6 7 8 9 0H-1H a 1H-2H 0H-2H 0H-1H b 1H-2H 0H-2H 0H-1H c 1H-2H 0H-2H 0H-1H d 1H-2H 0H-2H 0H-1H e 1H-2H 0H-2H 5,7 5. 5 1 1 2 1 1 ( 22650019) 1),,,,, 12, pp.262-271 (2001) http://www.hirou.jp/seika/pdf/kura3.1.1.pdf 2) Davrondzhon Gafurov, Einar Snekkenes Gait Recognition Using Wearable Motion Recording Sensors, EURASIP Journal on Advances in Signal Processing, Vol.2009, Art.ID 415817, 16 pages (2009). 3) Jacquelin Perry, ( ), (2007). 4),,,, 15, pp.113-114 (2003). 5),,,,, FASH:, 71, pp.301-302 (2009). 6) Rose and Gamble Human Walking, Lippincott Williams Wilkins pp.26 (1981). 7) : VAS (Visual Analogue Scale), http://www.hirougakkai.com/vas.pdf 8),,,, 3, 25(1), p.7-12 (2010). 9),,,,,, 45, p.28 (2010). 10) ANOVA4 on the Web http://www.hju.ac.jp/kiriki/anova4/ A.1 1 9 5% p <.10 (+) p <.05 (*),p <.01( ),p <.005( ), p <.001( ) B (p <.05) s., n.s. 7 c 2011 Information Processing Society of Japan

6 1-3 1 2 3 a B: **** **** **** b B: **** **** c B: **** **** **** d B: **** **** **** e B: **** **** **** 7 4-9 4 5 6 7 8 9 A: **** **** **** **** a B: **** **** **** **** AB: **** **** **** **** *** A: * **** **** **** + * b B: **** **** **** **** **** **** AB: **** **** + **** **** ** A: **** ** **** + **** c B: + **** **** * **** AB: **** * + **** **** A: **** *** **** *** **** d B: **** **** **** **** **** *** AB: **** **** **** **** **** * A: *** + * *** **** * e B: **** **** **** **** **** **** AB: **** **** * **** **** *** 8 B: 1 2 3 4 5 6 7 8 9 0H-1H s. n.s. s. s. n.s. s. s. a 1H-2H s. s. s. s. s. s. s. 0H-2H s. s. s. s. s. s. s. 0H-1H n.s. s. s. s. s. s. s. s. b 1H-2H s. s. s. s. s. s. n.s. s. 0H-2H s. s. s. n.s. s. s. s. s. 0H-1H s. n.s. s. s. s. s. n.s. c 1H-2H s. s. s. s. s. n.s. s. 0H-2H n.s. s. s. s. s. n.s. s. 0H-1H s. s. s. s. s. s. s. s. n.s. d 1H-2H s. s. s. s. s. s. s. s. s. 0H-2H s. s. n.s. s. s. n.s. s. s. n.s. 0H-1H s. s. n.s. s. s. s. s. s. n.s. e 1H-2H s. s. s. s. s. s. s. s. s. 0H-2H s. s. s. s. s. s. s. s. s. 8 c 2011 Information Processing Society of Japan

2024 © docsplayer.net プライバシー | 利用規約 | フィードバック