CyARM

Ito, Kiyohide; Okamoto, Makoto; Akita, Junichi; Ono, Taketoshi; Gyobu, Ikuko; Takagi, Tomohito; Hoshi, Toshihiko; Mishima, Yu

doi:10.1145/1056808.1056947

Cited by 70 publications

(3 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In recent years, the University of Verona "has expanded the use of stereoscopic cameras, a laser pointer, and an audio system altogether" (Fusiello et al, 2002). Another invention, known as Cy ARM (Ito et al, 2005), used a somewhat different approach. is also affordable, wearable, and both.…”

Section: Literature Reviewmentioning

confidence: 99%

Electronic Aid for Unfamiliar Environments

Ali,

Qian,

Akbar

et al. 2024

Preprint

View full text Add to dashboard Cite

In everyday life, the birth of a number of blind people takes place and millions of people are already available. Visually impaired people struggle to walk safely and in- dependently because they have trouble detecting obstacles. In this work, we suggest a novel approach to detecting obstacles utilizing an Arduino UNO board and an ul- trasonic sensor (HC-SR04). The main goal of this research is to increase the mobility and security of blind people in a variety of settings. The suggested system makes use of the HC-SR04 ultrasonic sensor’s capability to precisely measure distance and identify nearby obstructions. As the main processor component, the Arduino UNO board processes algorithms for real-time obstacle detection while also collecting data from the sensor. The device is intended to give the visually impaired user immedi- ate aural input while informing them of the location and proximity of obstacles. To Extensive testing is done in controlled and real-world settings to assess the system’s performance and dependability. In the studies, the effectiveness of obstacle detec- tion, the system’s response time, and its practicality and usefulness for blind people are all measured. The findings show that the suggested obstacle detection method provides very accurate obstacle identification at a safe distance. Users who are blind or visually handicapped may successfully understand their surroundings thanks to the aural feedback system, which helps them to navigate by making judgments that are well-informed. Additionally, the system responds quickly, guaranteeing that the user receives real-time obstacle updates to increase safety and confidence while mov- ing. The study’s conclusions demonstrate the possibility of using the Arduino UNO board with the HC-SR04 ultrasonic sensor as a practical and affordable approach for detecting obstacles.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Electronic Aid for Unfamiliar Environments

Ali,

Qian,

Akbar

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Most of these technologies and the sensory devices have been categorized in different pieces of the literature based on their functionality and mode of operation [20][21][22][23]. Traditional white canes with extended sensors [24,25], cameras [26], and ultrasonic sensors [27] are the most common assistive devices. The required functionalities of assistive devices are object/obstacle detection, navigation, hybrids (obstacle detection and navigation), and performing activities of daily lives (ADLs) [21].…”

Section: Related Workmentioning

confidence: 99%

Towards Robust Obstacle Avoidance for the Visually Impaired Person Using Stereo Cameras

Asiedu Asante,

Imamura

2023

Technologies

View full text Add to dashboard Cite

We propose a novel obstacle avoidance strategy implemented in a wearable assistive device, which serves as an electronic travel aid (ETA), designed to enhance the safety of visually impaired persons (VIPs) during navigation to their desired destinations. This method is grounded in the assumption that objects in close proximity and within a short distance from VIPs pose potential obstacles and hazards. Furthermore, objects that are farther away appear smaller in the camera’s field of view. To adapt this method for accurate obstacle selection, we employ an adaptable grid generated based on the apparent size of objects. These objects are detected using a custom lightweight YOLOv5 model. The grid helps select and prioritize the most immediate and dangerous obstacle within the user’s proximity. We also incorporate an audio feedback mechanism with an innovative neural perception system to alert the user. Experimental results demonstrate that our proposed system can detect obstacles within a range of 20 m and effectively prioritize obstacles within 2 m of the user. The system achieves an accuracy rate of 95% for both obstacle detection and prioritization of critical obstacles. Moreover, the ETA device provides real-time alerts, with a response time of just 5 s, preventing collisions with nearby objects.

show abstract

“…Most Electronic Travel Aids (ETA) use different sensors, such as ultrasonic and infrared sensors, to evaluate distances in order to improve spatial perception [30]. Some handheld devices retain the shape of a cane that integrates the controller, micromotor, battery and sensors [5,23,31,46]. Modified versions may have more functions by adding external components such as wheels and tactile indicators [32,53,57].…”

Section: Sensor-based Smart Canesmentioning

confidence: 99%

A multichannel LED-based lighting approach to improve color discrimination for low vision people

Yang¹,

Dinet²,

Katemake³

et al. 2023

View full text Add to dashboard Cite

The population of low vision people increases continuously with the acceleration of aging society. As reported by the World Health Organization (WHO), most of this population is over the age of 50 years and 81% were not concerned by any visual problem before. A visual deficiency can dramatically affect the quality of life and challenge the preservation of a safe independent existence.This study presents a LED-based lighting approach to assist people facing an age-related visual impairment. The research procedure is based on a psychophysical experiment consisting in the ordering of standard color samples. Volunteers wearing low vision simulation goggles performed such an ordering under different illumination conditions produced by a 24-channel multispectral lighting system. A filtering technique using color rendering indices coupled with color measurements allowed to objectively determine the lighting conditions providing the best scores in terms of color discrimination.Experimental results demonstrated that white light obtained by a special mixing of three selected channels can improve the color perception of low vision people in comparison to white LEDs nowadays available on the market for general lighting. Even if additional studies are required to go further, these first results give hope for the design of smart lighting devices that might adapt to the visual needs of the visually impaired.

show abstract

CyARM

Cited by 70 publications

References 2 publications

Electronic Aid for Unfamiliar Environments

Electronic Aid for Unfamiliar Environments

Towards Robust Obstacle Avoidance for the Visually Impaired Person Using Stereo Cameras

A multichannel LED-based lighting approach to improve color discrimination for low vision people

Contact Info

Product

Resources

About