보행보조로봇을 위한 다중 생체/역학 센서의 신호 분석 및 사용자 의도 감지 = Detection of implicit walking intention for walking-assistant robot based on analysis of Bio/Kinesthetic sensor signals

다국어 초록 (Multilingual Abstract)

In order to produce a convenient robot for the aged and the lower limb disabled, it is needed for the research detecting implicit walking intention and controlling robot by a user's intention. In this study, we developed sensor module system to control the walking- assist robot using FSR sensor and tilt sensor, and analyzed the signals being acquired from two sensors. The sensor module system consisted of the assist device control unit, communication unit by wire/wireless, information collection unit, information operation unit, and information processing PC which handles integrated processing of assist device control. The FSR sensors attached user's the palm and the soles of foot are sensing force/pressure signals from these areas and are used for detecting the walking intention and states. The tilt sensor acquires roll and pitch signal from area of vertebrae lumbales and reflects the pose of the upper limb. We could recognize the more detailed user's walking intention such as 'start walking', ''start of right or left foot forward', and 'stop walking' by the combination of FSR and tilt signals can recognize.

참고문헌 (Reference)

1 강성재, "하반신 마비환자를 위한 동력보행보조기의 퍼지제어 기법 개발" 제어·로봇·시스템학회 15 (15): 163-168, 2009

2 전도영, "프론티어 지능로봇 사업단의 노인을 위한 Healthcare Robot 개발 소개" 58 (58): 45-53, 2009

3 김경, "족관절 보조기를 착용한 고령자의 족관절 족저굴곡 토크 보조특성 분석" 한국로봇학회 5 (5): 48-54, 2010

4 변증남, "작업지향 설계를 위한 의복형 보행보조 로봇의 분류방법" 한국로봇학회 1 (1): 1-8, 2006

5 박병림, "일측 마비환자의 전기자극에 의한 보행기능의 회복" 29 (29): 465-471, 1992

6 B. Baker, "Walk of life" 293 (293): 30-31, 2008

7 S. Jezernik, "Robotic orthosis Lokomat: a rehabilitation and research tool" 6 (6): 108-115, 2003

8 H. Kawamoto, "Power assist method based on phase sequence and muscle force condition for HAL" 19 (19): 717-734, 2005

9 A. Kostov, "Machine learning in control of functional electrical stimulation systems for locomotion" 42 (42): 541-551, 1995

10 "MIT media lab"

11 J.Perry, "Kinesiology of lower extremity bracing" 102 : 18-31, 1974

12 K. Suzuki, "Intention-based walking support for paraplegia patients with robot suit HAL" 21 (21): 2007

13 H. Kazerooni, "Hybrid control of the Berkeley Lower Extremity Exoskeleton (BLEEX)" 25 : 561-573, 2006

14 J.W. Min, "Human-friendly interfaces of wheelchair robotics system for handicapped persons" 1505-1510, 2002

15 J. Rose, "Human walking" Williams & Wilkins 1994

16 "Honda Ltd"

17 S.K. Ng, "Fuzzy model identification for classification of gait events in paraplegics" 5 (5): 536-544, 1997

18 Y. Handa, "Functional electrical stimulation (FES) systems for restoration of motor function of paralyzed muscle-versatile systems and a portable system" 4 (4): 241-255, 1992

19 B. Miripour, "Climbing and Walking Robot"

20 D.Winter, "Biomechanics and Motor Control of Human Movement" Wiley-Interscience Publication 1990

21 Willemsen, A.T.M., "Automatic stance-swing phase detection from accelerometer data for peroneal nerve stimulation" 37 (37): 1201-1208, 1990

22 "Argo Medical Technologies Ltd"

23 R. Dai, "Application of tilt sensors in functional electrical stimulation" 4 (4): 63-72, 1996