scholarly journals Eye-Gaze Control of a Wheelchair Mounted 6DOF Assistive Robot for Activities of Daily Living

2021 ◽  
Author(s):  
Md Samiul Haque Sunny ◽  
Md Ishrak Islam Zarif ◽  
Ivan Rulik ◽  
Javier Sanjuan ◽  
Mohammad Habibur Rahman ◽  
...  
Keyword(s):  
User Interface ◽  
Activities Of Daily Living ◽  
Graphical User Interface ◽  
Daily Living ◽  
User Study ◽  
Eye Gaze ◽  
People With Disabilities ◽  
Control Architecture ◽  
Assistive Robot ◽  
Healthy Participants

Abstract Background: Building control architecture that balances the assistive manipulation systems with the benefits of direct human control is a crucial challenge of human-robot collaboration. It promises to help people with disabilities more efficiently control wheelchair and wheelchair-mounted robot arms to accomplish activities of daily living.Methods: In this paper, our research objective is to design an eye-tracking assistive robot control system capable of providing targeted engagement and motivating individuals with a disability to use the developed method for self-assistance activities of daily living. The graphical user interface is designed and integrated with the developed control architecture to achieve the goal.Results: We evaluated the system by conducting a user study. Ten healthy participants performed five trials of three manipulation tasks using the graphical user interface and the developed control framework. The 100% success rate on task performance demonstrates the effectiveness of our system for individuals with motor impairments to control wheelchair and wheelchair-mounted assistive robotic manipulators.Conclusions: We demonstrated the usability of using this eye-gaze system to control robotic arm mounted on wheelchair in activities of daily living for the people with disabilities. We found high levels of acceptance with higher ratings in evaluation of the system with healthy participants. Trial registration: Not applicable.

scholarly journals Adaptive Kinetic Scrolling: Kinetic Scrolling for Large Datasets on Mobile Devices

2018 ◽  
Vol 8 (11) ◽  
pp. 2015 ◽  
Author(s):  
Jongwook Jeong ◽  
Neunghoe Kim ◽  
Hoh In
Keyword(s):  
User Interface ◽  
Mobile Devices ◽  
Graphical User Interface ◽  
User Study ◽  
Large Datasets ◽  
Target Information ◽  
Large Dataset ◽  
Time And Energy

Scrolling is a frequently used Graphical User Interface widget that enables users to interact with a large amount of data using a limited viewport. However, if excessive data is included in the scroll, users are required to spend a substantial amount of time and effort to find the required information. In this paper, we present adaptive kinetic scrolling (AKS), a technique based on kinetic scrolling by which users can access target information more rapidly on mobile devices. Based on the user’s behavior, AKS detects situations when the user intends to access certain information that may be distant from the current viewport. At this point, AKS amplifies the speed of kinetic scrolling. Furthermore, the scrolling speed adapts according to the size of the remaining data to be scrolled. The more data that the scrolling widget contains, the more rapidly it scrolls so that the user can quickly reach the target. Kinetic scrolling is frequently used in scrolling widgets, and with AKS, users can save time and energy wasted on repetitive meaningless scrolling. We conducted a user study and verified that the proposed scrolling technique enables users to access target information more rapidly, particularly when there is a large dataset to navigate.

scholarly journals Eye-gaze control of a wheelchair mounted 6DOF assistive robot for activities of daily living

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Md Samiul Haque Sunny ◽  
Md Ishrak Islam Zarif ◽  
Ivan Rulik ◽  
Javier Sanjuan ◽  
Mohammad Habibur Rahman ◽  
...  
Keyword(s):  
User Interface ◽  
Activities Of Daily Living ◽  
Graphical User Interface ◽  
Daily Living ◽  
User Study ◽  
Eye Gaze ◽  
People With Disabilities ◽  
Control Architecture ◽  
Assistive Robot ◽  
Healthy Participants

Abstract Background Building control architecture that balances the assistive manipulation systems with the benefits of direct human control is a crucial challenge of human–robot collaboration. It promises to help people with disabilities more efficiently control wheelchair and wheelchair-mounted robot arms to accomplish activities of daily living. Methods In this study, our research objective is to design an eye-tracking assistive robot control system capable of providing targeted engagement and motivating individuals with a disability to use the developed method for self-assistance activities of daily living. The graphical user interface is designed and integrated with the developed control architecture to achieve the goal. Results We evaluated the system by conducting a user study. Ten healthy participants performed five trials of three manipulation tasks using the graphical user interface and the developed control framework. The 100% success rate on task performance demonstrates the effectiveness of our system for individuals with motor impairments to control wheelchair and wheelchair-mounted assistive robotic manipulators. Conclusions We demonstrated the usability of using this eye-gaze system to control a robotic arm mounted on a wheelchair in activities of daily living for people with disabilities. We found high levels of acceptance with higher ratings in the evaluation of the system with healthy participants.

HOW TO USE CROP GROWTH MODEL WOFOST FOR FORECASTING GROWTH AND YIELD OF A CROP

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
LAL SINGH ◽  
PARMEET SINGH ◽  
RAIHANA HABIB KANTH ◽  
PURUSHOTAM SINGH ◽  
SABIA AKHTER ◽  
...  
Keyword(s):  
User Interface ◽  
Graphical User Interface ◽  
Input Data ◽  
Growth And Yield ◽  
Weather Data ◽  
Data Sets ◽  
Crop Growth Model ◽  
Control Center ◽  
Field Crops ◽  
Crop Calendar

WOFOST version 7.1.3 is a computer model that simulates the growth and production of annual field crops. All the run options are operational through a graphical user interface named WOFOST Control Center version 1.8 (WCC). WCC facilitates selecting the production level, and input data sets on crop, soil, weather, crop calendar, hydrological field conditions, soil fertility parameters and the output options. The files with crop, soil and weather data are explained, as well as the run files and the output files. A general overview is given of the development and the applications of the model. Its underlying concepts are discussed briefly.

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