IoT Device for Disabled People

Shubankar, B.; Chowdhary, Mallika; Priyaadharshini, M

doi:10.1016/j.procs.2020.01.092

Cited by 16 publications

(7 citation statements)

References 5 publications

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“…The understanding of sign language has become an academic task as it consists of various hand movements and gestures [39],Thus, the factor of cost-effectiveness; in having a system based on low-cost gloves which people with a speech impairment can wear and use to translate signs into speech is be considered as a paramount motivation [40], [41], [42]. Another aspect related to the hardware is its comfortability.…”

Section: ) Design Enhancementmentioning

confidence: 99%

“…when the recognition is used by a trained user who is familiar with Sign Language, the achieved accuracy is high [54], but decreases in other situations when the users are untrained [55]. The second set of challenges involved user comfort, as a using of sensory glove required the user to wear a bulky glove contain of sensors , cables and circuit board which limited the user's hand mobility [8], [39], [14]. Wearable technology is often used with Arduino boards, sensors, and circuits, making the system a little bulky and huge [56].…”

Section: ) the Challenges Related To Usersmentioning

confidence: 99%

“…There are a number of glove-based systems that are available on the market, which are generally expensive. In addition, they require specific drivers as well as configuration and tuning procedures [12], [39]. Firstly, it is noted that such devices incurred high expenditure with high-cost prices, of approximately $220 to design a glove-based sign interpreter [59].…”

Section: ) the Challenges Related To Hardwarementioning

confidence: 99%

See 2 more Smart Citations

A Systematic Review on Systems-Based Sensory Gloves for Sign Language Pattern Recognition: An Update From 2017 to 2022

et al. 2022

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Sign language is the predominant mode of communication for the Deaf community. For the millions of people who suffer from hearing loss around the world, interaction with people who have the ability to hear and do not suffer from hearing impairment or loss is considered as complicated. In line with this issue, technology is perceived as a crucial factor in being an enabler of providing solutions to enhance the quality of life of the Deaf and people with hearing impairment by increasing accessibility. This research aims to review and analyze articles related to sign language recognition based on the sensor-based glove system, in order to identify academic motivations, challenges, and recommendations related to this field. The search for the relevant review materials and articles was performed on four major databases ranging from 2017 to 2022: Science Direct, Web of Science, IEEE Xplore, and Scopus. The articles were chosen based on our inclusion and exclusion criteria. The literature findings of this paper indicate the dataset size to be open issues and challenges for hand gesture recognition. Furthermore, the majority of research on sign language recognition based on data glove was performed on static, single hand, and isolated gestures. Moreover, recognition accuracy typically achieved results higher than 90%. However, most experiments were carried out with a limited number of gestures. Overall, it is hoped that this study will serve as a roadmap for future research and raise awareness among researchers in the field of sign language recognition.

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Section: ) Design Enhancementmentioning

confidence: 99%

Section: ) the Challenges Related To Usersmentioning

confidence: 99%

Section: ) the Challenges Related To Hardwarementioning

confidence: 99%

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A Systematic Review on Systems-Based Sensory Gloves for Sign Language Pattern Recognition: An Update From 2017 to 2022

et al. 2022

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“…IoT based systems are presented in studies that provide communication assistance to the disabled people who are dumb deaf and blind for communication with normal people. Systems use sign language to speech conversion [47,48], similarly text to audio/speech for blind and image to test to audio conversion [49] . Framework proposed in [50] aids the disable for surround feel by converting the voice from the environment into text using IoT and ML for deaf people to know what's happening.…”

Section: E Assistive Technology For the Disabledmentioning

confidence: 99%

Internet of Things for Industrial Workspace and 4 Other Fields-Key Technologies and Applications

Bander Al Rayaan,

Abdullah H Alshehri

2022

IJEAST

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— IoT along with sensors holds a great potential for providing cutting edge solutions for innovative services in. Assistive technology for disabled, Independent living for Elderly, Industrial workspace, Mobility and Automotive Industry. In a typical IoT based system, smart sensor nodes or devices collect large amount of data for processing, and communicate with each other using transmission link for exchange of data and providing innovative services. In context to the current stance of IoT, IoT evolution, different technologies and applications of IoT for these domains are systematically accessed in this paper using the published literature. After the rigorous review, challenges that exist in the domains are also highlighted along with future direction for the researchers to evaluate current standing of IoT and to improve or contribute to these applications.

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“…Моніторинг рухової та м'язової активності людини використовується в багатьох сферах -від протезування під час реабілітації до моніторингу тренувань спортсменів [1], військових та людей з особливими потребами [2].…”

Section: вступunclassified

Disposable Wearable Sensors Based on Nanocellulose for Biomedical Applications

Naidonov

Dusheiko

Koval

et al. 2022

Microsyst., Electron. & Acoust.

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Monitoring of human motor and muscle activity is used in many areas, from prosthetics during rehabilitation to training monitoring of athletes. Sensors for these tasks are usually made of flexible polymers and require recycling after the expiration date. Nanocellulose (NC) can be used as a biodegradable base for this type of sensor. The development of low-cost disposable sensors that do not require disinfection and cleaning is relevant. NC is a composite nanoscale structure of cellulose fibers (fibrils) with a high aspect ratio. The paper aim is to develop disposable wearable biodegradable bend sensors based on nanocellulose using vacuum synthesis methods and the study of their characteristics. Nanocellulose was synthesized by the TEMPO method. The sensors were created by means of magnetron sputtering of Ti/Ni or Cr/Ni thin films at the surface of nanocellulose. Measuring stand was developed to determine the change in resistance due to the bending of the sensor. It’s mechanical part consists of an elastic deformation plate made of high-alloy steel, which can be bent using a micrometric screw. The change in resistance is linearly related to the elongation of the measured sample. A Wheatstone bridge and a 24-Bit ADC HX711 were used to measure the change in resistance. During testing of the sensor for analysis of muscle activity, the sensor element was attached to the human skin with the help of medical glue BF-6. The obtained sensors were tested for biodegradability. The samples were placed in the ground at a depth of 20-30 mm. The mass of nanocellulose samples was measured using a high-precision digital balance EDIS 50 (50/0.001 g) with a built-in level. The optimal ratio of the value of sensitivity and reversibility is observed in the range of the nominal resistance of the nickel film from 10 to 100 Ohms. This is due to an increase in the surface area of the Ni film, which leads to an increase in sensitivity, but at the same time there is a decrease in the repeatability of the characteristics due to a greater influence of the heterogeneous structure of nanofibrillated cellulose. In addition, sensors with different buffer layer materials - Ti and Cr - were selected for testing. For titanium-based sensors, the maximum sensitivity coefficient is 0.312%, while the deviation of the sensor signal after one bending-unfolding cycle (reversibility) is less than 0.001%. Chromium-based sensors have significantly higher sensitivity (0.9753%), but worse reversibility (7.14%). Sensors based on the Cr buffer layer showed poorly reproducible results in the cyclic mode of operation, namely: there are significant fluctuations in the signal amplitude (up to 50-60%) already after the second bending-unfolding cycle. Therefore, despite the high sensitivity of such sensors, they are unsuitable for analyzing human motor and muscle activity/ The sensors based on the Ti buffer layer showed good response (2.5-3%) and good repeatability and resistance to cyclic bending (30 times). It can be seen that the obtained dependencies are approximated by a linear law. Some deviation from linearity is obviously related to the inhomogeneity of the Ni thin film. Also, the sensors showed a good loss of mass (40% in 9 weeks) during the biodegradability test, which confirms their ability to decompose under the influence of atmospheric phenomena. So, in this work, disposable wearable sensors on a nanocellulose substrate were synthesized for the evaluation of motor and muscle activity of a person. It was found that such sensors can be used to test of finger and biceps movement during at least 10-30 full flexion-extension cycles. For test of elbow movement, it is planned to synthesize a high-elastic composite material based on nanocellulose and bioelastic material (for example, polyvinyl alcohol). Thus, the proposed sensor manufacturing technology makes it possible to obtain cheap, light, flexible disposable wearable sensors that do not require further disposal after the end of operation.

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IoT Device for Disabled People

Cited by 16 publications

References 5 publications

A Systematic Review on Systems-Based Sensory Gloves for Sign Language Pattern Recognition: An Update From 2017 to 2022

A Systematic Review on Systems-Based Sensory Gloves for Sign Language Pattern Recognition: An Update From 2017 to 2022

Internet of Things for Industrial Workspace and 4 Other Fields-Key Technologies and Applications

Disposable Wearable Sensors Based on Nanocellulose for Biomedical Applications

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