scholarly journals Eyelid gestures for people with motor impairments

2022 ◽  
Vol 65 (1) ◽  
pp. 108-115
Author(s):  
Mingming Fan ◽  
Zhen Li ◽  
Franklin Mingzhe Li

Although eye-based interactions can be beneficial for people with motor impairments, they often rely on clunky or specialized equipment (e.g., stationary eye-trackers) and focus primarily on gaze and blinks. However, two eyelids can open and close in different orders and for different duration to form rich eyelid gestures. We take a first step to design, detect, and evaluate a set of eyelid gestures for people with motor impairments on mobile devices. We present an algorithm to detect nine eyelid gestures on smartphones in real time and evaluate it with 12 able-bodied people and 4 people with severe motor impairments in two studies. The results of the study with people with motor-impairments show that the algorithm can detect the gestures with .76 and .69 overall accuracy in user-dependent and user-independent evaluations. Furthermore, we design and evaluate a gesture mapping scheme for people with motor impairments to navigate mobile applications only using eyelid gestures. Finally, we discuss considerations for designing and using eyelid gestures for people with motor impairments.

2015 ◽  
Vol 2015 ◽  
pp. 1-9
Author(s):  
Yao-Chung Fan ◽  
Hsueh-Wen Tseng

With the popularity of mobile devices, numerous mobile applications have been and will continue to be developed for various interesting usage scenarios. Riding this trend, recent research community envisions a novel information retrieving and information-sharing platform, which views the users with mobile devices, being willing to accept crowdsourcing tasks ascrowd sensors. With the neat idea, a set of crowd sensors applications have emerged. Among the applications, the geospatial information systems based on crowd sensors show significant potentials beyond traditional ones by providing real-time geospatial information. In the applications, user positioning is of great importance. However, existing positioning techniques have their own disadvantages. In this paper, we study using pervasive Wi-Fi access point as user position indicators. The major challenge for using Wi-Fi access point is that there is no mechanism for mapping observed Wi-Fi signals to human-defined places. To this end, our idea is to employ crowdsourcing model to perform place name annotations by mobile participants to bridge the gap between signals and human-defined places. In this paper, we propose schemes for effectively enabling crowdsourcing-based place name annotation, and conduct real trials with recruited participants to study the effectiveness of the proposed schemes. The experiment results demonstrate the effectiveness of the proposed schemes over existing solutions.


2014 ◽  
Vol 573 ◽  
pp. 549-555
Author(s):  
P. Thanapal ◽  
M.A. Saleem Durai

Mobile cloud computing will wear down gaining quality among users, the researchers predicts these troubles by execution of mobile applications on application suppliers external to the mobile device. During this paper, we have a tendency to gift a wide survey of mobile cloud computing, whereas prominence the particular considerations in mobile cloud computing square measure as follows. (a) Highlights the present state in Application of cloud computing usage in real time world. (b) Identifies the problems in testing bandwidth and (c) provides a optimizing of the offloading that saves energy


Author(s):  
Juan Ivan Nieto Hipólito ◽  
Mabel Vázquez Briseño ◽  
Humberto Cervantes de Ávila ◽  
Miguel Enrique Martínez Rosas ◽  
Oleg Yu Sergiyenko

mHealth is a very attractive field for mobile applications developers, but it also involves new challenges that developers of programs intended for standard desktops do not usually face. Hence, the first part of this chapter is devoted to survey the development platforms and languages utilized to develop the associated applications of the mHealth system. mHealth is a communications system that consists of mobile devices for collecting and delivering clinical health data to practitioners, researchers and patients. It is also a tool used in the real-time monitoring of patient vital signs, and direct provision of care. Therefore, the second part of this chapter will focuses on the survey of wireless technologies envisioned for use in the mHealth system.


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