실시간 손 제스처 인식을 위하여 손목 피부 표면의 높낮이 변화를 고려한 스마트 손목 밴드
Smart Wrist Band Considering Wrist Skin Curvature Variation for Real-Time Hand Gesture Recognition
0
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
This study introduces a smart wrist band system with pressure measurements using wrist skin curvature variation due to finger motion. It is easy to wear and take off without pre-adaptation or surgery to use. By analyzing the depth variation of wrist skin curvature during each finger motion, we elaborated the most suitable location of each Force Sensitive Resistor (FSR) to be attached in the wristband with anatomical consideration. A 3D depth camera was used to investigate distinctive wrist locations, responsible for the anatomically de-coupled thumb, index, and middle finger, where the variations of wrist skin curvature appear independently. Then sensors within the wristband were attached correspondingly to measure the pressure change of those points and eventually the finger motion. The smart wrist band was validated for its practicality through two demonstrative applications, i.e., one for a real-time control of prosthetic robot hands and the other for natural human-computer interfacing. And hopefully other futuristic human-related applications would be benefited from the proposed smart wrist band system.
Abstract
This study introduces a smart wrist band system with pressure measurements using wrist skin curvature variation due to finger motion. It is easy to wear and take off without pre-adaptation or surgery to use. By analyzing the depth variation of wrist skin curvature during each finger motion, we elaborated the most suitable location of each Force Sensitive Resistor (FSR) to be attached in the wristband with anatomical consideration. A 3D depth camera was used to investigate distinctive wrist locations, responsible for the anatomically de-coupled thumb, index, and middle finger, where the variations of wrist skin curvature appear independently. Then sensors within the wristband were attached correspondingly to measure the pressure change of those points and eventually the finger motion. The smart wrist band was validated for its practicality through two demonstrative applications, i.e., one for a real-time control of prosthetic robot hands and the other for natural human-computer interfacing. And hopefully other futuristic human-related applications would be benefited from the proposed smart wrist band system.
참고문헌 (25)
- Nawadita Parajuli, "Real-Time EMG Based Pattern Recognition Control for Hand Prostheses: A Review on Existing Methods, Challenges and Future Implementation", Sensors, 19(20), pp.4596~ (2019), MDPI AG[DOI]
- Robert Gielissen, "Perceptions of Price Fairness", Business & Society, 47(3), pp.370~389 (2007), SAGE Publications[DOI]
- Jelle ten Kate, "3D-printed upper limb prostheses: a review", Disability and Rehabilitation: Assistive Technology, 12(3), pp.300~314 (2017), Informa UK Limited[DOI]
- Salman Mohd Khan, "Selection of Features and Classifiers for EMG-EEG-Based Upper Limb Assistive Devices—A Review", IEEE Reviews in Biomedical Engineering, 13, pp.248~260 (2020), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- Changcheng Wu, "A Control Strategy with Tactile Perception Feedback for EMG Prosthetic Hand", Journal of Sensors, 2015, pp.1~15 (2015), Hindawi Limited[DOI]
- Panagiotis Polygerinos, "Soft robotic glove for hand rehabilitation and task specific training", 2015 IEEE International Conference on Robotics and Automation (ICRA) (2015), IEEE
- F. Javier Andrés, "Comparison of Grasping Performance of Tendon and Linkage Transmission Systems in an Electric-Powered Low-Cost Hand Prosthesis", Journal of Mechanisms and Robotics, 11(1) (2018), ASME International[DOI]
- Y. Kang, "Motion recognition of human body using matrix pressure sensor and human body motion prediction system", Korea Patent 1021969620000, ~ (2020)
- Y. Kang, "Control system of robotic articulated joint move ment according to pressure sensor’s continuative changing value by the tendon", Korea Patent 1018191580000, ~ (2016)
- Artem Dementyev, "Wrist Flex: low - power gesture input with wrist-worn pressure sensors", The 27th Annual ACM Symposium on User Interface Software and Technology, pp.161~166 (2014), ACM
- Daniele Esposito, "A Piezoresistive Array Armband With Reduced Number of Sensors for Hand Gesture Recognition", Frontiers in Neurorobotics, 13 (2020), Frontiers Media SA[DOI]
- Xianzhi Chu, "A Sensor-Based Hand Gesture Recognition System for Japanese Sign Language", 2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech) (2021), IEEE
- Yufei Zhang, "Recognizing Hand Gestures With Pressure-Sensor-Based Motion Sensing", IEEE Transactions on Biomedical Circuits and Systems, 13(6), pp.1425~1436 (2019), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- Xiangpeng Liang, "Fusion of Wearable and Contactless Sensors for Intelligent Gesture Recognition", Advanced Intelligent Systems, 1(7) (2019), Wiley[DOI]
- Peter B. Shull, "Hand Gesture Recognition and Finger Angle Estimation via Wrist-Worn Modified Barometric Pressure Sensing", IEEE Transactions on Neural Systems and Rehabilitation Engineering, 27(4), pp.724~732 (2019), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- Weipeng Wang, "Wearable Wristworn Gesture Recognition Using Echo State Network", 2019 26th IEEE International Conference on Electronics, Circuits and Systems (ICECS) (2019), IEEE
- "THIEME Atlas of Anatomy General Anatomy and Musculoskeletal System" (2006)[URL]
- Dina Ragheb, "MR imaging of the finger tendons: Normal anatomy and commonly encountered pathology", European Journal of Radiology, 56(3), pp.296~306 (2005), Elsevier BV[DOI]
- Peter J. Keir, "Changes in geometry of the finger flexor tendons in the carpal tunnel with wrist posture and tendon load: an MRI study on normal wrists", Clinical Biomechanics, 14(9), pp.635~645 (1999), Elsevier BV[DOI]
- "FSR Series Data Sheet"[URL]
- Cesare Rossi, "A study of a robotic hand with tendon driven fingers", Robotica, 33(5), pp.1034~1048 (2014), Cambridge University Press (CUP)[DOI]
- 조영수, "텐던 구동 로봇 메커니즘의 일반화된 그래프 표현", 로봇학회 논문지, 9(3), pp.178~184 (2014), 한국로봇학회
- "InMoov open - sourced 3D printed life-size robot"[URL]
- "Demonstration1: Prosthetic Hand Control using Pressure Data Wrist Band"[URL]
- "Demonstration2: Display Control using Pressure Data Wrist Band"[URL]