Wearable obstacle detection system fully integrated to textile structures for visually impaired people

Bahadır, Senem Kurşun; Končar, Vladan; Kalaoğlu, Fatma

doi:10.1016/j.sna.2012.02.027

Cited by 59 publications

(23 citation statements)

References 15 publications

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“…Many of these aids are electronics-based and are either positioned directly onto the cane (Balakrishnan et al, 2008;Kim, Park, Lee, & Ha, 2009;Kim & Cho, 2013), handheld or worn by the user (Bahadir, Koncar, & Kalaoglu, 2012;Bousbia-Salah, Bettayeb, & Larbi, 2011;Kammoun et al, 2012;Palleja, Tresanchez, Teixido, & Palacin, 2010;Pradeep, Medioni, & Weiland, 2010;Prattico, Cera, & Petroni, 2013). These devices are intended to give additional feedback to the user about their surroundings.…”

Section: Introductionmentioning

confidence: 99%

“…An alternative approach is to convey this tactile information in a device that is worn by the user. Several groups have adopted this approach with different devices, including clothing items such as belts (Prattico et al, 2013), vests (Bousbia-Salah et al, 2011Pradeep et al, 2010) and T-shirts (Bahadir et al, 2012). These systems are often more complex than devices attached to a white cane, as they contain multiple locations on the body to generate feedback that needs to be learnt and deciphered by the user.…”

Section: Introductionmentioning

confidence: 99%

“…These systems are often more complex than devices attached to a white cane, as they contain multiple locations on the body to generate feedback that needs to be learnt and deciphered by the user. The number of feedback channels mainly ranges between 2 (Bousbia-Salah et al, 2011), 4 (Pradeep et al, 2010;Prattico et al, 2013), and 8 (Bahadir et al, 2012). Currently, the optimal number of feedback channels is unknown, and further investigation surrounding this issue is required.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Detachable Electronic Device for Use With a Long White Cane to Assist With Mobility

O'Brien

Mohtar

Diment

et al. 2014

Assistive Technology

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Vision-impaired individuals often use a long white cane to assist them with gathering information about their surroundings. However, these aids are generally not used to detect obstacles above knee height. The purpose of this study is to determine whether a low-cost, custom-built electronic device clipped onto a traditional cane can provide adequate vibratory warning to the user of obstacles above knee height. Sixteen normally sighted blindfolded individuals participated in two mobility courses which they navigated using a normal white cane and a white cane with the electronic device attached. Of the 16 participants, 10 hit fewer obstacles, and 12 covered less ground with the cane when the electronic device was attached. Ten participants found navigating with the electronic device easier than just the white cane alone. However, the time taken on the mobility courses, the number of collisions with obstacles, and the area covered by participants using the electronic device were not significantly different (p > 0.05). A larger sample size is required to determine if the trends found have real significance. It is anticipated that additional information provided by this electronic device about the surroundings would allow users to move more confidently within their environment.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Detachable Electronic Device for Use With a Long White Cane to Assist With Mobility

O'Brien

Mohtar

Diment

et al. 2014

Assistive Technology

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“…As an example of one the first research projects in this field, Bahadır (2011), developed a wearable obstacle detection system that warns users about obstacles and hazards, and enables them to navigate safely in indoor environment ( Figure 1). The system comprises a wearable garment with sensors, actuators, power supplies and a data processing unit.…”

Section: Wearable Obstacle Detection Systemmentioning

confidence: 99%

Assistive Technologies for Individuals With Visual Impairment: Contribution of Design in the Field of Clothing

Zor

Vuruskan

2019

Mühendislik Bilimleri Ve Tasarım Dergisi

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According to data of World Health Organization, it was estimated that 253 million were visually impaired worldwide in 2017 (WHO, 2017). For those with moderate to total blindness and visual impairment, daily activities such as mobility, communication, education, clothing and shopping cannot be carried out independently. Assistive technologies (AT) offer solutions to contribute to the quality of life of those with visual impairments. Considering the daily obstacles faced by such individuals, as a prior step for design development of alternative ATs, this paper includes an overview of ATs. Since this overview addresses a lack of applications in clothing related AT, the following survey aims to acquire feedback from people with visual impairment, focusing on clothing related issues, with the aim of making improvements in design.

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“…To detect hazardous gas, to monitor brain activities of equipment drivers, to monitor fatigue, wearable devices are already in use. [6] commits a system to detect obstacles for people who has lost sense of sight by wearable sensors. [7] emphasizes the future usage of wearable devices in tourism.…”

Section: Introductionmentioning

confidence: 99%

Human Action Recognition Using Deep Learning Methods on Limited Sensory Data

et al. 2020

Self Cite

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In recent years, due to the widespread usage of various sensors action recognition is becoming more popular in many fields such as person surveillance, human-robot interaction etc. In this study, we aimed to develop an action recognition system by using only limited accelerometer and gyroscope data. Several deep learning methods like Convolutional Neural Network(CNN), Long-Short Term Memory (LSTM) with classical machine learning algorithms and their combinations were implemented and a performance analysis was carried out. Data balancing and data augmentation methods were applied and accuracy rates were increased noticeably. We achieved new stateof-the-art result on the UCI HAR dataset by 97.4% accuracy rate with using 3 layer LSTM model. Also, we implemented same model on collected dataset (ETEXWELD) and 99.0% accuracy rate was obtained which means a solid contribution. Moreover, the performance analysis is not only based on accuracy results, but also includes precision, recall and f1-score metrics. Additionally, a real-time application was developed by using 3 layer LSTM network for evaluating how the best model classifies activities robustly.

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Wearable obstacle detection system fully integrated to textile structures for visually impaired people

Cited by 59 publications

References 15 publications

A Detachable Electronic Device for Use With a Long White Cane to Assist With Mobility

A Detachable Electronic Device for Use With a Long White Cane to Assist With Mobility

Assistive Technologies for Individuals With Visual Impairment: Contribution of Design in the Field of Clothing

Human Action Recognition Using Deep Learning Methods on Limited Sensory Data

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