Enhancing blind-dumb assistance through a self-powered tactile sensor-based Braille typing system

Liu, Wenqiu; Yu, Wu; Li, Kecen; Zhou, Siyuan; Wang, Qi; Yu, Hua

doi:10.1016/j.nanoen.2023.108795

Cited by 7 publications

(4 citation statements)

References 43 publications

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“…The pressure sensor in this tool is located on a button that is made very embossed or appears on the surface of the sole of the foot, which is made to be easily touched by the visually impaired and pressed to issue an explanation of the name of the nerve point that the user is studying. This is different from the principle of the tool produced in the research of Wenqiu Liu et al [16] (2023), which is a self-powered tactile Braille typing glove specifically designed to help individuals who are blind and deaf. The gloves feature a selfgenerating electrical signal, eliminating the need for an external power source.…”

Section: Resultsmentioning

confidence: 82%

Microcontroller-based smart foot as an educational tool for teaching reflexology nerve points to visually impaired massage trainers and trainees

Rosyada,

Wahyuli,

Hasani

et al. 2023

J.INFOTEL

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The limited sense of sight makes it difficult for blind people to get a decent job. One of the jobs performed by the blind is a reflexology massager. Becoming a reflexology masseuse with visual limitations has several obstacles in learning reflexology. The purpose of this research is to make reflexology educational aids that are easily understood by blind masseurs so that blind masseurs can improve reflexology competence and determine the appropriate massage nerve points. The making of teaching aids is carried out using the Research and Development method with five stages, namely information gathering, planning, development, trials with students and coaches, and evaluation. The results of this study are a prototype in the form of a microcontroller-based smart demonstration leg called Smart Massage Tools. The output of the Smart Massage Tools prototype is sound which is suitable for use by blind people who want to study reflexology independently. Smart Massage Tools have higher time effectiveness and understanding than massage training using manual props.

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Section: Resultsmentioning

confidence: 82%

Microcontroller-based smart foot as an educational tool for teaching reflexology nerve points to visually impaired massage trainers and trainees

Rosyada,

Wahyuli,

Hasani

et al. 2023

J.INFOTEL

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“…A voltage can only be produced due to the IPMC deformation (bending or compression), giving it advanced passive output performance that is not possible in the conventional strain sensors, which can be mainly categorized as resistive, capacitive, and inductive. Self-powered mechanisms such as electromagnetic induction, triboelectric, and piezoelectric nanogenerators that convert mechanical energy into electrical energy have been explored as sensors [37][38][39][40][41][42]. However, unlike IPMC, these methods can only generate instant electrical output at the transient state (dynamic response).…”

Section: Introductionmentioning

confidence: 99%

Kirigami-inspired self-powered pressure sensor based on shape fixation treatment in IPMC material

Low,

Chee,

Lim

et al. 2024

Smart Mater. Struct.

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Rapid advances in sensing technologies have brought about the fast development of wearable electronics for biomedical applications. Since its conception, over the years, the ionic polymer metal composite (IPMC) is a new man-made material that has demonstrated its great potential for wearable devices due to self-powered sensing capabilities. Here, for the first time, a novel Kirigami technique with unique cut patterns has been employed for designing a stretchable IPMC sensor with enhanced performance. As Nafion itself exhibits the characteristic of shape memory polymer, the Kirigami structure that is built using the IPMC can be buckled up by loading and heating the IPMC above the deformation temperature, Tdef. To further enhance the memory effect, the Kirigami structure has further been locked by immersing it in potassium hydroxide (KOH) for the formation of deprotonated Nafion. The voltage output of the proposed IPMC with Kirigami shows a superior performance with 3 times improvement over the conventionally planar electrodes. Dynamic tests with a range of displacements have been performed to validate the sensor design and the robustness of the Kirigami structure. This novel Kirigami-based IPMC sensor has been successfully demonstrated for braille sensing by designing 7 independent electrodes.

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“…45,46 Recently, electronic devices utilizing tactile sensors for Braille character recognition have been developed to improve the communication and reading skills of the blind. 47,48 Here, we adopt a strategy that combines flexible tactile sensors with D 2 NN to achieve Braille recognition. We fabricated a flexible tactile sensor based on molybdenum disulfide-doped laser-reduced graphene oxide (LRGO/MoS 2 ).…”

Section: ■ Introductionmentioning

confidence: 99%

“…In recent years, laser-reduced graphene oxide (LRGO) films have attracted considerable attention in the field of sensor applications due to their outstanding surface area, thermal stability, and conductivity. , In particular, multifunctional flexible sensors based on LRGO have been developed to detect physical, chemical, and electrophysiological signals simultaneously. − Laser reduction technology offers unique advantages, including selective and localized reduction, precise and rapid patterning, and the absence of the need for masks and additional chemical substances. − Moreover, the entire laser reduction process takes only a few minutes, significantly enhancing the preparation efficiency of flexible tactile sensors . Simultaneously, the layered structure of molybdenum disulfide (MoS 2 ) allows for the incorporation of external atoms. , Recently, electronic devices utilizing tactile sensors for Braille character recognition have been developed to improve the communication and reading skills of the blind. , …”

Section: Introductionmentioning

confidence: 99%

All-Optical Diffractive Deep Neural Networks Enabled Laser-Reduced Graphene Oxide Tactile Sensor for Braille Recognition

Liu,

Fang,

Zhang

et al. 2024

ACS Appl. Electron. Mater.

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All-optical diffractive deep neural networks (D 2 NNs) show a wide range of applications in image recognition and artificial vision due to their advantages of high-speed parallel processing, low energy consumption, and excellent anti-interference ability. However, there is relatively limited research applying D 2 NNs for tactile perception. In this study, we propose an automatic Braille recognition method based on D 2 NNs and tactile sensors. A flexible molybdenum disulfide-doped laser-reduced graphene oxide (LRGO/MoS 2 ) tactile sensor was fabricated with the laser direct writing method. The LRGO/MoS 2 tactile sensor shows a sensitivity of 9.8 kPa −1 , with a response/recovery time of 0.14/0.10 s and excellent cyclic stability. The tactile sensor can be employed to capture Braille character information in real time and convert it into digital signals as inputs for all-optical D 2 NNs. The automatic recognition of Braille characters is achieved in the all-optical D 2 NNs with five diffraction layers, and the system finally can realize a recognition accuracy of 100% for Braille recognition. The strategy of integrating flexible tactile sensors with all-optical deep learning paves a path for realizing a low-cost, fast, accurate, and efficient tactile recognition system.

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Enhancing blind-dumb assistance through a self-powered tactile sensor-based Braille typing system

Cited by 7 publications

References 43 publications

Microcontroller-based smart foot as an educational tool for teaching reflexology nerve points to visually impaired massage trainers and trainees

Microcontroller-based smart foot as an educational tool for teaching reflexology nerve points to visually impaired massage trainers and trainees

Kirigami-inspired self-powered pressure sensor based on shape fixation treatment in IPMC material

All-Optical Diffractive Deep Neural Networks Enabled Laser-Reduced Graphene Oxide Tactile Sensor for Braille Recognition

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