Self-powered glove-based intuitive interface for diversified control applications in real/cyber space

He, Ting; Sun, Zhongda; Shi, Qiongfeng; Zhu, Minglu; Anaya, David Vera; Xu, Mengya; Chen, Tao; Yuce, Mehmet Rasit; Thean, Aaron; Lee, Chengkuo

doi:10.1016/j.nanoen.2019.01.091

Cited by 144 publications

(107 citation statements)

References 63 publications

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“…[11][12][13][14][15][16][17][18][19][20][21][22][23] . One of the major trends is to apply textiles made of functional yearns and coatings or to use flexible materials to fabricate devices for detecting physiological signals [24][25][26] , conducting drug delivery 27 , and realizing intuitive humanmachine interfaces [28][29][30][31] . Another trend is the thin-film technique for stretchable electronics and wearables, including epidermal sensors, the epidermal electronic system (EES), and electronic tattoos (e-tattoos), which have demonstrated a wide range of functionalities, including physiological sensing [32][33][34][35][36][37][38][39][40][41][42][43] , on-skin display 44 , ultraviolet (UV) detection 45 , transdermal therapeutics 34 , human-machine interface (HMI) 46 , prosthetic electronic skin 47 , and skin-adhesive rechargeable batteries 48,49 .…”

Section: Introductionmentioning

confidence: 99%

An epidermal sEMG tattoo-like patch as a new human–machine interface for patients with loss of voice

Liu

Dong

et al. 2020

Microsyst Nanoeng

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Throat cancer treatment involves surgical removal of the tumor, leaving patients with facial disfigurement as well as temporary or permanent loss of voice. Surface electromyography (sEMG) generated from the jaw contains lots of voice information. However, it is difficult to record because of not only the weakness of the signals but also the steep skin curvature. This paper demonstrates the design of an imperceptible, flexible epidermal sEMG tattoo-like patch with the thickness of less than 10 μm and peeling strength of larger than 1 N cm −1 that exhibits large adhesiveness to complex biological surfaces and is thus capable of sEMG recording for silent speech recognition. When a tester speaks silently, the patch shows excellent performance in recording the sEMG signals from three muscle channels and recognizing those frequently used instructions with high accuracy by using the wavelet decomposition and pattern recognization. The average accuracy of action instructions can reach up to 89.04%, and the average accuracy of emotion instructions is as high as 92.33%. To demonstrate the functionality of tattoo-like patches as a new human-machine interface (HMI) for patients with loss of voice, the intelligent silent speech recognition, voice synthesis, and virtual interaction have been implemented, which are of great importance in helping these patients communicate with people and make life more enjoyable.

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Section: Introductionmentioning

confidence: 99%

An epidermal sEMG tattoo-like patch as a new human–machine interface for patients with loss of voice

Liu

Dong

et al. 2020

Microsyst Nanoeng

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“…The 3D information of the mobile stage can then be used for the control of a nano-manipulator in a scanning electron microscope (SEM). Moving forward, flexible wearable interfaces will be of increasing importance to enable intuitive interactions between humans and machines [174][175][176]. Figure 11c shows an intuitive glove interface, with four textile-based sensors to achieve full interacting functionality [174].…”

Section: Interface Of Sensormentioning

confidence: 99%

Development Trends and Perspectives of Future Sensors and MEMS/NEMS

et al. 2019

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With the fast development of the fifth-generation cellular network technology (5G), the future sensors and microelectromechanical systems (MEMS)/nanoelectromechanical systems (NEMS) are presenting a more and more critical role to provide information in our daily life. This review paper introduces the development trends and perspectives of the future sensors and MEMS/NEMS. Starting from the issues of the MEMS fabrication, we introduced typical MEMS sensors for their applications in the Internet of Things (IoTs), such as MEMS physical sensor, MEMS acoustic sensor, and MEMS gas sensor. Toward the trends in intelligence and less power consumption, MEMS components including MEMS/NEMS switch, piezoelectric micromachined ultrasonic transducer (PMUT), and MEMS energy harvesting were investigated to assist the future sensors, such as event-based or almost zero-power. Furthermore, MEMS rigid substrate toward NEMS flexible-based for flexibility and interface was discussed as another important development trend for next-generation wearable or multi-functional sensors. Around the issues about the big data and human-machine realization for human beings’ manipulation, artificial intelligence (AI) and virtual reality (VR) technologies were finally realized using sensor nodes and its wave identification as future trends for various scenarios.

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“…The self-healing, flexible EHTS-TENG-based tactile-sensor had a great potential in human-device interfaces. A soft skin-like TENG (STENG) has been prepared as not only an energy harvester but also a tactile sensor with ionic hydrogel and hybridizing elasto-mer as the components [132]. The STENG could produce a peak power density of 35 mW·m -2 and drive wearable electronics with energy from mechanical motions.…”

Section: Tactile Sensorsmentioning

confidence: 99%

“…A flexible and textile TENG for energy harvesting has proved the possibility as a strain sensor for strain sensing [109]. The integrated device was prepared in a single silk chip and could be adhered to the skin or fabrics to collect the biomechanical energy and detect strain at Position/accessory Finger [124][125][126]128] Finger skin [127] Finger and hand [129] Hand [131,132] Wrist [130] Hand and chest [119] Sock [133] Elbow and wrist [134] Arm and leg [135] Wrist, foot, elbow, knee [137] Cap or jaw [138] Joint [106] Forearm, shirt, pants [109] Abdomen [117] Thumb and wrist [140] Finger [141,144] Cotton glove [142] Finger, elbow, arm, knee [143] Elbow, leg, neck [106] Respirator [108,145,148] Finger [107] Waist and abdomen [116] Hand and fingertip [147] Flexibility Yes [124][125][126][127][128][129][130][131][132] Yes [133][134][135]…”

Section: Strain Sensorsmentioning

confidence: 99%

Nanogenerator-Based Self-Powered Sensors for Wearable and Implantable Electronics

et al. 2020

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Wearable and implantable electronics (WIEs) are more and more important and attractive to the public, and they have had positive influences on all aspects of our lives. As a bridge between wearable electronics and their surrounding environment and users, sensors are core components of WIEs and determine the implementation of their many functions. Although the existing sensor technology has evolved to a very advanced level with the rapid progress of advanced materials and nanotechnology, most of them still need external power supply, like batteries, which could cause problems that are difficult to track, recycle, and miniaturize, as well as possible environmental pollution and health hazards. In the past decades, based upon piezoelectric, pyroelectric, and triboelectric effect, various kinds of nanogenerators (NGs) were proposed which are capable of responding to a variety of mechanical movements, such as breeze, body drive, muscle stretch, sound/ultrasound, noise, mechanical vibration, and blood flow, and they had been widely used as self-powered sensors and micro-nanoenergy and blue energy harvesters. This review focuses on the applications of self-powered generators as implantable and wearable sensors in health monitoring, biosensor, human-computer interaction, and other fields. The existing problems and future prospects are also discussed.

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Self-powered glove-based intuitive interface for diversified control applications in real/cyber space

Cited by 144 publications

References 63 publications

An epidermal sEMG tattoo-like patch as a new human–machine interface for patients with loss of voice

An epidermal sEMG tattoo-like patch as a new human–machine interface for patients with loss of voice

Development Trends and Perspectives of Future Sensors and MEMS/NEMS

Nanogenerator-Based Self-Powered Sensors for Wearable and Implantable Electronics

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