Physical Field-Enhanced Intelligent Space with Temperature-Based Human Motion Detection for Visually Impaired Users

Jiang, Jiaoying; Lee, Kok-Meng; Ji, Jingjing

doi:10.1007/978-3-319-65298-6_12

Cited by 1 publication

(3 citation statements)

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“…(a) The first scene simulates a typical iSpace for the blind/VIP users (Jiang et al 2017), where public IR cameras can be installed at strategic locations to capture orthogonal views of a human crowd for communicating the users through an iCloud server (Fig. 1a).…”

Section: Resultsmentioning

confidence: 99%

“…Smart perception systems/ methods (that not only acquire physical field data but also are capable of processing, analyzing and communicating information in real-time) play an important role in intelligent space (iSpace) (Jiang et al 2017), smart cars (Hecht 2017), and smart cities (Yovanof and Hazapis 2009). Through smart sensors integrated with real-time monitoring systems, data can be digitally shared among citizens, devices/systems and public infrastructures in an iSpace to improve services and safety towards better quality of life.…”

Section: Introductionmentioning

confidence: 99%

“…The thermal properties and temperature fields of the IR images for intelligent robotic applications remain underexploited. , have recently developed a method utilizing geomagnetic effects as physically intuitive waypoints to enhance building floor maps and complement optical images commonly used with digital cameras that are now widely available in smart phones, which leads to the design concept of an intelligent space (iSpace) (Jiang et al 2017) that takes advantages of the rapidly developing cloud-computing and personal mobile devices (generally built with sound, image, video and vibration alert capabilities) to share way-finding information among users. While the immediate application is an enhanced environment that helps the blind and visually impaired people (blind/VIP) users overcome problems encountered in daily way-finding, methods for iSpace here will be applicable to similar robotic navigation applications.…”

Section: Introductionmentioning

confidence: 99%

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Temperature-based alternate perception method for human-motion detection with visually impaired user applications

Jiang

Lee

2017

Int J Intell Robot Appl

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This paper presents an alternate perception method to improve the perception ability of the blind/visually impaired people who are generally familiar with stationary objects but less confident in congested environment where human motion is unpredictable. This method, taking advantages of the fact that the human body is essentially a natural heat source, utilizes temperature fields and their gradients from infrared (IR) images to locate individual humans in a relatively congested area and determine their face orientation and motion states. Unlike conventional illumination-sensitive visual images that often include many unrelated details, the normalized IR images in this method are naturally pre-filtered, effectively removing unwanted background ''noise'', which greatly simplifies the subsequent image processing tasks. The temperature-based method has been illustrated with three realistic scenes commonly encountered in daily walking. Practical implementation issues, which include the effects of low image resolution, overlapping/occlusions, reflection and non-human heat sources on the face orientation detection, are discussed; and their effects on the effectiveness and robustness of the method are experimentally investigated. The experimental findings offer physically intuitive insights into the development of alternate perception methods based on temperature field and its potential applications in intelligent space, smart city and smart cars.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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