A Kinect based vibrotactile feedback system to assist the visually impaired

Yelamarthi, Kumar; DeJong, Brian Peter; Laubhan, Kevin

doi:10.1109/mwscas.2014.6908495

Cited by 14 publications

(4 citation statements)

References 6 publications

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“…Another similar system is proposed in (Yelamarthi et al, 2014), but with a vibrotactile feedback system. The system uses left and right vibration modules to estimate the object distance to the user.…”

Section: Background Review and Existing Solutionsmentioning

confidence: 99%

Portable offline indoor object recognition system for the visually impaired

2020

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This article presents an indoor assistive system that addresses the challenges faced by visually impaired individuals. The proposed system helps the visually impaired individuals to move indoor and make them independent of any external assistance. The proposed system consists of a camera with a processing unit and an accompanying Time-of-Flight sensor providing an efficient, convenient and cost-effective solution. The proposed system achieves average object detection accuracy of 73.34% and a 5% error margin in detecting the distance and length of detected objects. The performance comparison with two existing systems shows that the proposed system provides a very close performance to the benchmarks with advantages of portability easy-to-use and no requirement for cloud services.

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Section: Background Review and Existing Solutionsmentioning

confidence: 99%

Portable offline indoor object recognition system for the visually impaired

2020

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“…This device is used as a game controller and interprets the user's large motion gestures, i.e. arm swinging and bending of the limbs, and is also used for localization of objects (Yelamarthi, DeJong, & Laubhan, 2014). This project is intended for use in a setting that requires more discrete gestures.…”

Section: Previous Workmentioning

confidence: 99%

“…Proper functionality of the robot will be determined from the data sent to the server. Similarly, one other recently published research included (Yelamarthi, DeJong, & Laubhan, 2014) using the Microsoft Kinect sensor for space perception to identify objects in front of a blind user, and providing haptic feedback to allow him/her navigate indoor environments.…”

Section: Previous Workmentioning

confidence: 99%

A Perceptual Computing based Gesture Controlled Quadcopter for Visual Tracking and Transportation

Yelamarthi

Kannavara

Boddhu³

2015

International Journal of Monitoring and Surveillance Technologies Research

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One of the fundamental challenges faced by an inexperienced user in portable unmanned aerial vehicle (UAV) such as quadcopters is flight control, often leading to crashes. Addressing this challenge, and leveraging upon the technological advancement in perceptual computing and computer vision, this research presents a modular system that allows for hand gesture based flight control of UAV, alongside a transport mechanism for portable objects. In addition to ascertain smooth flight control by avoiding obstacles in navigation path, real-time video feedback is relayed from the UAV to user, thus allowing him/her to take appropriate actions. This paper presents the design implementation by discussing the various sub-systems involved, inter system communication, and field tests to ascertain operation. As presented from testing results, the proposed system provides efficient communication between the subsystems for smooth flight control, while allowing for safe transport of portable objects.

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“…A portable electric aid device [16] was designed specifically for the blind people in which ultrasonic range finders are mounted on the belt to find the obstacles present in the users way and to direct the blind people through Bluetooth headphone. Another depth sensor based den avigation system [17] for the blind people with high accuracy and to alert user via vibrio tactile feedback in the hand gloves. When the previous works are addressed, there is a limitation of database connectivity between the different cloud environment in monitoring the data in constant time intervals and to analyze data.…”

Section: Introductionmentioning

confidence: 99%

Internet of things (IoT) based health monitoring system and challenges

Sathya¹,

Madhan²,

Jayanthi³

2018

IJET

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Among the applications that Internet of Things (IoT) facilitated to the world, Healthcare applications are most important. In general, IoT has been widely used to interconnect the advanced medical resources and to offer smart and effective healthcare services to the people. The advanced sensors can be either worn or be embedded into the body of the patients, so as to continously monitor their health. The information collected in such manner, can be analzed, aggregated and mined to do the early prediction of diseases. The processing algorithms assist the physicians for the personalization of treatment and it helps to make the health care economical, at the same time, with improved outcomes. Also, in this paper, we highlight the challenges in the implementation of IoT health monitoring system in real world.

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A Kinect based vibrotactile feedback system to assist the visually impaired

Cited by 14 publications

References 6 publications

Portable offline indoor object recognition system for the visually impaired

Portable offline indoor object recognition system for the visually impaired

A Perceptual Computing based Gesture Controlled Quadcopter for Visual Tracking and Transportation

Internet of things (IoT) based health monitoring system and challenges

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