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This study developed an ICT-integrated wearable deep breathing facilitation technology to address key challenges in implementing and managing deep breathing exercises—one of the most widely used cognitive behavioral therapy (CBT) techniques for children diagnosed with Attention Deficit Hyperactivity Disorder (ADHD). These challenges include low adherence, difficulty in systematic administration, and lack of objective clinical…
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We have developed an assistive technology, called ATCam(Assistive Technology Camera), which is based on deep neural network computer vision technology, to automatically detects and provides context-sensitive appropriate intervention to people with special needs in the context of using a variety of public facilities. The developed ATCam system consists of four inter-related modular components: sensing…
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The purpose of this study is to design and validate a new alarm clock method called ‘Social Alarm’. It promotes better wake-up experience, which extends the traditional passive self-struggling wake-up experience into a mutually beneficial activity by sharing an alarm clock with friends who are willing to go together. The effectiveness of this method…
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Research Objectives: To develop an AI-empowered technology that automatically evaluates sitting-pivot-transfer performance based on body motion tracking and ambient object recognition with a low-cost time-of-flight sensor.Design: The Cross Industry Standard Process for Data Mining (CRISP-DM) approach with the data collected from multi-site clinical trials was adopted.Setting: The multi-site clinical trials were assessed based on…
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The purpose of this research is to design and develop powered wheelchair add-on units that provide a long-cane-based one-hand wireless wheelchair control with a driving safety assurance called ‘in-air bumper’ for people with vision and mobility issues. The focus group meeting conducted with four participants (two potential end-users and two orientation & mobility specialists…
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Objective: To develop a protocol-independent integrated assistive smart-home technology to enhance the ability of people with cognitive impairments to live more safely and independently in their homes, leveraging the existing connected-home products and implementing intellignet context-aware ADL inference engine for home safety and independent living.Design: Participatory Action Design collaborating with end-users and other key…
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We developed a 3D vision-based semi-autonomous control interface for assistive robotic manipulators. It was implemented based on one of the most popular commercially available assistive robotic manipulator combined with a low-cost depth-sensing camera mounted on the robot base. To perform a manipulation task with the 3D vision-based semi-autonomous control interface, a user starts operating…
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Approximately 3.3 million Americans over the age of 15 use wheelchairs daily (Census, 2010). Wheelchair users rely heavily on their upper extremities to complete common but essential activities of daily living such as getting in and out of bed, transferring to a toilet or a shower, and transferring in and out of a car.…
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Research Objectives: This study has aimed to gain a better understanding of the characteristics of robotic manipulation performed by persons with physical disabilities.Design: Case-control study.Setting: Laboratory-based evaluation with a series of robotic manipulation tasks using a standardized ARM evaluation tool (ARMET). The ARMET is a task board which includes three kinds of common household…
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Purpose: To investigate a new alternative interaction method, called circling interface, for manipulating on-screen objects. To specify a target, the user makes a circling motion around the target. To specify a desired pointing command with the circling interface, each edge of the screen is used. The user selects a command before circling the target. Method:…