Article
Computer Science, Information Systems
Peiqi Kang, Jinxuan Li, Bingfei Fan, Shuo Jiang, Peter B. Shull
Summary: This study developed a new method for hand gesture recognition that can accurately recognize gestures while people are walking. By using signal decomposition and transfer learning, the interference caused by walking can be effectively addressed, resulting in improved accuracy of gesture recognition.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2022)
Article
Computer Science, Information Systems
Hong-Quan Nguyen, Trung-Hieu Le, Trung-Kien Tran, Hoang-Nhat Tran, Thanh-Hai Tran, Thi-Lan Le, Hai Vu, Cuong Pham, Thanh Phuong Nguyen, Huu Thanh Nguyen
Summary: In this work, we explore the use of hand gestures for human-machine interaction using wrist-worn sensors. We develop a prototype that captures RGB video stream of hand gestures and create a new gesture dataset. We evaluate various CNN models and find that MoviNet produces the highest accuracy. Additionally, we propose a two-stream architecture based on MoviNet that incorporates both RGB and optical flow, leading to improved recognition accuracy.
Article
Engineering, Electrical & Electronic
Wentao Dong, Lin Yang, Raffaele Gravina, Giancarlo Fortino
Summary: Soft electronics have been widely used in wearable devices, hand gesture recognition, and human robot interaction. This study introduces a soft wrist-worn sensor system (SWSS) with electromyography (EMG) and strain/pressure sensing capabilities for continuous hand gesture recognition. The results show that SWSS has good wearability and high accuracy in hand gesture recognition, even during long-term monitoring.
IEEE SENSORS JOURNAL
(2022)
Article
Health Care Sciences & Services
Wei-Te Ho, Yi-Jen Yang, Tung-Chou Li
Summary: This study evaluated the validity of prescribing exercise intensity using wrist-worn devices. The results showed that heart rates measured by the Apple Watch Series 6 and Garmin Forerunner 945 can be used to accurately estimate exercise intensity. Further research is needed to confirm these findings in other populations.
Article
Computer Science, Information Systems
Domenico Minici, Guglielmo Cola, Antonella Giordano, Silvana Antoci, Elena Girardi, Mauro Di Bari, Marco Avvenuti
Summary: Wearable sensors have the potential to monitor physical activity and evaluate frailty in older adults. This study explores the use of body-worn accelerometers to assess frailty during walking activity. The results show that a wrist-worn accelerometer provides valuable information for recognizing frailty, making it an effective tool for automated and unobtrusive assessment.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2022)
Article
Engineering, Electrical & Electronic
Haomeng Qiu, Yan Chen, Zhitao Chen, Chaojie Yang, Sihan Wu, Fanglin Li, Longhan Xie
Summary: In recent years, high-density surface electromyography (HD-sEMG) has been used for cancelable authentication of wearable devices in healthcare applications. Previous studies focused on the forearm or hand, but the wrist is more practical and comfortable to use. By covering a larger area with fewer electrodes, the authentication system becomes more stable. Additionally, fast dynamic gestures are preferable for real-time authentication compared to static gestures.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Computer Science, Information Systems
Tianming Zhao, Yan Wang, Jian Liu, Jerry Cheng, Yingying Chen, Jiadi Yu
Summary: Traditional one-time user authentication is vulnerable to attacks. Continuous user authentication (CA) utilizes users' pulsatile signals for authentication, reduces user participation, and improves accuracy through adaptive filtering methods. Experimental results demonstrate high accuracy and low false detection rate in practical scenarios, and the mitigation approaches further enhance accuracy.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Chemistry, Analytical
James R. Williamson, Brian Telfer, Riley Mullany, Karl E. Friedl
Summary: By analyzing wrist-worn accelerometry data from the U.K. Biobank, machine learning classifiers detected PD with AUC of 0.69 on gait data, 0.84 on low-movement data, and 0.85 on a fusion of both activities over one week. The study found that classification accuracy improved steadily during the one-week data collection, suggesting the potential for higher accuracy with longer data collection. These findings support the feasibility of using a cost-effective and user-friendly activity sensor for detecting movement abnormalities related to PD and further research on early PD detection and symptom severity tracking.
Article
Biophysics
Marta Karas, Jacek K. Urbanek, Vittorio P. Illiano, Guy Bogaarts, Ciprian M. Crainiceanu, Jonas F. Dorn
Summary: The study evaluates the stride segmentation performance of ADEPT for subsecond-level accelerometry data collected in the free-living environment using a wrist-worn sensor, expanding the existing pattern-matching algorithm and finding a significant association between walking cadence and SF-36 quality of life measures.
PHYSIOLOGICAL MEASUREMENT
(2021)
Article
Computer Science, Information Systems
Shu Wang, Aiguo Wang, Mengyuan Ran, Li Liu, Yuxin Peng, Ming Liu, Guoxin Su, Adi Alhudhaif, Fayadh Alenezi, Norah Alnaim
Summary: The goal of hand gesture recognition with wearables is to enable gestural user interfaces in mobile and ubiquitous environments. This research addresses the challenges of diverse hand gestures and the need for accurate motion representation and modeling. The proposed framework, STGauntlet, effectively characterizes hand motion context and achieves high accuracy in real-time gesture recognition.
INFORMATION SCIENCES
(2022)
Article
Chemistry, Physical
Biao Wang, Zhihe Long, Ying Hong, Qiqi Pan, Weikang Lin, Zhengbao Yang
Summary: Inspired by the woodpecker's head structure, a bionic two-layer band piezoelectric energy harvester is designed for self-powered smartwatches and wristbands. It employs finite element analysis to optimize energy collection positions and features an improved rectifier circuit. Experimental results show that the design is capable of continuously powering a watch and a screen, with a power density five times higher than previous wrist-worn harvesters.
Article
Engineering, Electrical & Electronic
Chao Zhao, Wenru Zeng, Dandan Hu, Hong Liu
Summary: The study demonstrated a wrist-worn heart rate monitor using a single accelerometer, with signal decomposition algorithms and Kalman smoothing to remove motion artifacts and noise, providing more accurate heart rate estimation within +/- 8.86 bpm, longer battery life and better wearing comfort compared to PPG.
IEEE SENSORS JOURNAL
(2021)
Article
Computer Science, Information Systems
Juan M. Santos-Gago, Mateo Ramos-Merino, Luis M. Alvarez-Sabucedo
Summary: Hand washing is a simple and effective gesture recommended by the World Health Organization. This study demonstrates the feasibility of identifying hand washing moments using smartwatch sensor data analysis. The identification of washing moments is very effective with user-dependent models, but more limited in detecting free washings.
Article
Computer Science, Information Systems
Guglielmo Cola, Alessio Vecchio, Marco Avvenuti
Summary: The paper proposes a gait biometric authentication method based on acceleration signals, achieving an error rate of 2.5% in experimental results and demonstrating higher energy efficiency.
PERVASIVE AND MOBILE COMPUTING
(2021)
Article
Automation & Control Systems
Jaeyeon Jeong, Kyujin Hyeon, Jungwoo Han, Cheol Hoon Park, So-Young Ahn, Soo-Kyung Bok, Ki-Uk Kyung
Summary: This article proposes an artificial muscle based on shape memory alloy (SMA) with an active cooling system. It also introduces a soft wearable robot that uses multiple SMA muscles to assist wrist motion.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Chemistry, Analytical
Wenzheng Heng, Gaoyang Pang, Feihong Xu, Xiaoyan Huang, Zhibo Pang, Geng Yang
Article
Energy & Fuels
Gan Liu, Chen Yang, Junhui Zhang, Huaizhi Zong, Bing Xu, Jin-yuan Qian
Editorial Material
Engineering, Chemical
Jin-yuan Qian, Junhui Zhang, Zan Wu, Bengt Sunden
Editorial Material
Engineering, Mechanical
Geng Yang, Honghao Lv, Zhiyu Zhang, Liu Yang, Jia Deng, Siqi You, Juan Du, Huayong Yang
CHINESE JOURNAL OF MECHANICAL ENGINEERING
(2020)
Article
Computer Science, Information Systems
Huiying Zhou, Geng Yang, Honghao Lv, Xiaoyan Huang, Huayong Yang, Zhibo Pang
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2020)
Article
Engineering, Mechanical
Min Pan, Chenggang Yuan, Hastha Anpalagan, Andrew Plummer, Jun Zou, Junhui Zhang, Chris Bowen
Article
Chemistry, Analytical
Yu Liu, Sepehr Mousavi, Zhibo Pang, Zhongjun Ni, Magnus Karlsson, Shaofang Gong
Summary: This paper reviews the current status and requirements of the plant factory industry and proposes an architecture that integrates the domains of communication and computing. It also calls for a cross-disciplinary co-design methodology to accelerate the engineering implementation of plant factories and other industries.
Article
Computer Science, Information Systems
Zakka Vincent Gbouna, Gaoyang Pang, Geng Yang, Zeyang Hou, Honghao Lv, Zhangwei Yu, Zhibo Pang
Summary: Healthcare 4.0 introduces collaborative robots into care services, presenting challenges in natural collaboration and safety. A proximity sensing solution based on self-capacitive technology is proposed to enhance touch and safety for collaborative robots, operating in interaction and safety modes.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2021)
Article
Robotics
Zhiqiu Ye, Gaoyang Pang, Kaichen Xu, Zeyang Hou, Honghao Lv, Yiren Shen, Geng Yang
Summary: This letter presents a soft robot skin that can mediate on-body tactile signals during tasks, adapt to complex robot contours, and enable real-time collision detection with high sensitivity and fast response time.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Article
Health Care Sciences & Services
Ruohan Wang, Honghao Lv, Zhangli Lu, Xiaoyan Huang, Haiteng Wu, Junjie Xiong, Geng Yang
Summary: This study developed a medical assistive robot called CareDo for remote health care in the isolation ward during the COVID-19 pandemic. The robot can assist patients and healthcare workers through tasks such as video chatting, emotion detection, and medical supplies delivery. Clinical trials showed that the system accurately recognized patients' facial expressions during psychological intervention.
JMIR HUMAN FACTORS
(2023)
Article
Automation & Control Systems
Honghao Lv, Zhibo Pang, Koushik Bhimavarapu, Geng Yang
Summary: This article proposes a network hardware-in-the-loop (N-HiL) simulation framework to evaluate the impacts of wireless on robot control more efficiently and accurately. The framework employs correlation analysis between communication and control performances to improve the design. The N-HiL method provides reliable network conditions and eliminates the efforts and costs of building and testing the entire physical robot system in real life.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Engineering, Biomedical
Honghao Lv, Depeng Kong, Gaoyang Pang, Baicun Wang, Zhangwei Yu, Zhibo Pang, Geng Yang
Summary: This paper presents a novel motion synchronization method using a hybrid mapping technique of hand gesture and upper-limb motion for teleoperation of medical assistive robots. The proposed method reduces the burden on healthcare workers, simplifies the operation, and achieves superior performance compared to traditional methods.
IEEE TRANSACTIONS ON MEDICAL ROBOTICS AND BIONICS
(2022)
Article
Automation & Control Systems
Wenzheng Heng, Geng Yang, Gaoyang Pang, Zhiqiu Ye, Honghao Lv, Juan Du, Guodong Zhao, Zhibo Pang
Summary: The fluid-driven soft robot skin with sensing and actuating function successfully applied to a collaborative robot provides tunable stiffness and sensitivity by altering the internal air pressure in pneumatic actuators. This skin reduces the peak force of collision and achieves actuating function, fabricated using three-dimensional printing and computer-aided design. The experiment demonstrating the applications of CoboSkin shows that it enhances robot adaptability to human daily life by mimicking human skin and muscle.
ADVANCED INTELLIGENT SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Chen Yang, Long-jie Yu, Junhui Zhang, Jin-yuan Qian
Summary: The study investigates the influence of fin height, fin pitch, and fin thickness on the thermal performance of the closed circuit axial piston transmission (CCAPT) through designing a spiral fin structure and conducting numerical simulations. Attention should be paid to the heat accumulation in the area of rotating elements for better cooling effects. An increase in fin height, fin pitch, and fin thickness can enhance heat transfer, with optimal results obtained at a fin height of 7.5 mm and a fin pitch of 30 mm showing significant improvements in Nusselt number.
Article
Engineering, Biomedical
Honghao Lv, Geng Yang, Huiying Zhou, Xiaoyan Huang, Huayong Yang, Zhibo Pang
IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE
(2020)
