Wearable Wrist Movement Monitoring Using Dual Surface-Treated Plastic Optical Fibers

Li, Jing; Liu, Jian; Li, Cheng; Zhang, Hui; Li, Yi-Zuo

doi:10.3390/ma13153291

Cited by 20 publications

(10 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Wrist training plays a very important role in analyzing patient disability status in the upper limb and in treatment to regain mobility. [56] Repetitive wrist flexion and extension is a key part of a wrist training process.…”

Section: Resultsmentioning

confidence: 99%

A Stretchable Multimode Triboelectric Nanogenerator for Energy Harvesting and Self‐Powered Sensing

Chang

Xiao

et al. 2021

Adv Materials Technologies

View full text Add to dashboard Cite

that can constantly convert energy from the ambient environment into electricity. Various methods that scavenge ambient energy in different forms (solar, electromagnetic, mechanical, thermal, and so forth) have been explored through photoelectric, electromagnetic, electrostatic, piezoelectric, triboelectric, thermoelectric, and pyroelectric transduction mechanisms at different scales. [4] Among them, harvesting the most ubiquitous and constantly available mechanical energy with triboelectric nanogenerators (TENGs) has been proven to be a highly efficient, [5] cost-effective, [6] and robust approach. [7] Such devices offer lightweight, good scalability, and a wide choice of materials [8] and designs. [9] These devices have particular applicability when high mechanical flexibility and stretchability are demanded, such as for powering stretchable electronics. [10] A TENG operates based on the conjunction of triboelectrification (contact electrification) and electrostatic induction, with the former providing static surface charges and the latter transforming the displacement of charged surface and/or spatial redistribution of surface charges into electricity. [11] This unique working principle renders the TENG not only a natural choice for energy harvesting [12] but also a promising approach for active sensing. [9] Since the invention of the first TENG in 2012, [13] TENGs with various material selections, structural designs, [9] and working modes (vertical contact-separation mode, lateral sliding mode, single-electrode mode, and freestanding triboelectric-layer mode) [14] have been developed to accommodate energy conversion from different types of mechanical motions, enhance output performance as micro-/nanopower source, and extend applications as self-powered sensors. [9,12,[14][15][16] Tactile touch sensors, [17,18] acoustic sensors, [19,20] motion and acceleration sensors, [21,22] chemical sensors, [23,24] strain sensors, [25] and temperature sensors [26] have been successfully demonstrated. In recent years, a new direction that pursues the shape adaptability and stretchability of TENGs has emerged and grown rapidly, driven by the potential applications in wearable/implantable electronics, [27] electronic skin, [28] epidermal electronics, [29] and human-machine interfacing (HMI) [30] for internet of things. An ideal shape-adaptive and stretchable TENG would have the following features, along with sufficient power output. First, the key components of the TENG (including triboelectrification A new type of stretchable triboelectric nanogenerator (TENG) made of a custom-formulated stretchable conductive composite and an elastomer is reported in this work. The unique structural design allows this stretchable TENG to effectively operate in both pressing and stretching modes. In the pressing mode, the stretchable TENG is able to deliver an open-circuit voltage of 69 V, a short-circuit current density of 3.05 mA m −2 , and a power density of 23 mW m −2 under loaded conditions. The excellent electrical properties of the st...

show abstract

Section: Resultsmentioning

confidence: 99%

A Stretchable Multimode Triboelectric Nanogenerator for Energy Harvesting and Self‐Powered Sensing

Chang

Xiao

et al. 2021

Adv Materials Technologies

View full text Add to dashboard Cite

show abstract

“…Although everyone's wrist bending angle limit is different, so the maximum bending angle of the wrist in the literature can be used as the reference data for this study. The maximum bending angles of wrist four direction movements are shown in Table 1 (Li et al , 2020).…”

Section: Methodsmentioning

confidence: 99%

“…Moreover, a fibre-optic curvature bending sensor with a sensitive zone was developed for monitoring the bi-direction bending movements of the knee joint. Later, two bi-direction sensors were applied to monitor wrist four direction movements (Stupar et al , 2012; Gong et al , 2019; Li et al , 2020). Because the space of wearable devices is limited, it is a trend to develop a novel bending sensor to reduce the use of installation space to achieve a small amount and lightweight effect.…”

Section: Introductionmentioning

confidence: 99%

Quadri-directional optical bending sensor using side-emitting POF integrated with wearable device technology in smart glove

Lin

2022

IJCST

View full text Add to dashboard Cite

PurposeIt is important to monitor wrist four direction movements (flexion, extension, adduction and abduction) for hand healthcare, wrist rehabilitation and upper limb exercise, and so on. The purpose of this study is to develop a quadri-directional optical bending sensor that integrated wearable device technology in a smart glove to detect wrist four direction movements.Design/methodology/approachThe quadri-directional optical bending sensor was designed with a microcontroller board, a Bluetooth wireless module, a side-emitting polymeric optical fibre (POF), an infrared light emitting diode and four phototransistors. A linear equation was deduced to calculate bending angle from detecting sensor value of Arduino microcontroller. The bending angle values could be seen by the smartphone screen, so the system has a good human–machine interface function.FindingsThe light emission by macro-bending of the side-emitting POFs that the transmittance of the outer side is greater than the inner. The bending POFs lateral emission phenomenon integrated with phototransistors on the edge is suitable for the development of bending sensors.Originality/valueThis study is to develop a novel quadri-directional optical bending sensor to replace two bi-direction sensors or four uni-direction sensors for wrist four direction movements monitoring.

show abstract

“…Also, the majority of publications in this domain used POF sensors instead of the traditional glass optical fiber sensors due to their higher elasticity. 15,30,31,35,41,43,46,47 This implies that the integration of POF sensors in apparel will probably be a new trend.…”

Section: Research Domainsmentioning

confidence: 99%

Textile-based fiber optic sensors for health monitoring: A systematic and citation network analysis review

Lee

Yip

Yick

et al. 2021

Textile Research Journal

View full text Add to dashboard Cite

Receptivity towards textile-based fiber optic sensors that are used to monitor physical health is increasing as they have good flexibility, are light in weight, provide wear comfort, have electromagnetic immunity, and are electrically safe. Their superior performance has facilitated their use for obtaining close to body measurements. However, there are many related studies in the literature, so it is challenging to identify the knowledge structure and research trends. Therefore, this article aims to provide an objective and systematic literature review on textile-based fiber optic sensors that are used for monitoring health issues and to analyze their trends through a citation network analysis. A full-text search of journal articles was conducted in the Web of Science Core Collection, and a total of 625 studies was found, with 47 that were used as the sample. Also, CitNetExplorer was used for analyzing the research domains and trends. Three research domains were identified, among them, “Flexible sensors for vital signs monitoring” is the largest research cluster, and most of the articles in this cluster focus on respiratory monitoring. Therefore, this area of study should probably be on the academic radar. The collection of data on textile-based fiber optic sensors is invaluable for evaluating degree of rehabilitation, detecting diseases, preventing accidents, as well as gauging the performance and training successfulness of athletes.

show abstract

Wearable Wrist Movement Monitoring Using Dual Surface-Treated Plastic Optical Fibers

Cited by 20 publications

References 35 publications

A Stretchable Multimode Triboelectric Nanogenerator for Energy Harvesting and Self‐Powered Sensing

A Stretchable Multimode Triboelectric Nanogenerator for Energy Harvesting and Self‐Powered Sensing

Quadri-directional optical bending sensor using side-emitting POF integrated with wearable device technology in smart glove

Textile-based fiber optic sensors for health monitoring: A systematic and citation network analysis review

Contact Info

Product

Resources

About