A Comparison Between Conventional and User-Intention-Based Adaptive Pushrim-Activated Power-Assisted Wheelchairs

Khalili, Mahsa; Kryt, Garrett; Borisoff, Jaimie

doi:10.1109/tnsre.2021.3129420

Cited by 4 publications

(2 citation statements)

References 23 publications

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“…Considering that switching between different fixed values of the assist ratio could lead to unstable wheeling conditions when transitioning between terrains, we suggest a method to gradually change the assist ratio in future applications. Finally, the train classification framework can be combined with personalized intention detection modules [29], which would potentially improve controllability of PAPAWs on different terrains. Despite the limitations, our preliminary findings provided promising evidence regarding the potential relevance of using Adaptive controllers to improve the effectiveness of PAPAWs on outdoor terrains.…”

Section: Discussionmentioning

confidence: 99%

A Comparison Between Conventional and Terrain-Specific Adaptive Pushrim-Activated Power-Assisted Wheelchairs

Khalili

Kryt

Borisoff

2021

IEEE Trans. Neural Syst. Rehabil. Eng.

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Pushrim-activated power-assisted wheels (PAPAWs) are assistive technologies that provide ondemand propulsion assistance to wheelchair users. In this study, we aimed to develop an adaptive PAPAW controller that responds effectively to changes in environmental conditions (e.g., type of surface or terrain). Experiments were conducted to collect kinematics of wheelchair motion using a frame-mounted inertial measurement unit (IMU) while performing a variety of wheelchair activities on different indoor/outdoor terrains. Statistical characteristics of velocity and acceleration measurements were extracted and used to develop a terrain classification framework to identify certain indoor and outdoor terrains. The terrain classification framework, based on random forest classification algorithms and kinematic features, was implemented and tested in our laboratory-developed PAPAW. This computationally efficient terrain classification framework was successfully implemented and tested in real-time. The power-assist ratio of each wheel was adjusted based on the type of terrain (e.g., more assistance was provided on outdoor terrains). Our findings revealed that propulsion effort (e.g., peak input torque) on asphalt was significantly reduced when using adaptive controllers compared to conventional PAPAW controllers. In addition, subjective views of participants regarding the workload of wheelchair propulsion (e.g., physical/cognitive effort) supported the positive effects of adaptive PAPAW controllers. We believe that the adoption of terrain-specific adaptive controllers has the potential to improve the accessibility of outdoor terrains and to prevent or delay upper extremity joint degeneration or pain.

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Section: Discussionmentioning

confidence: 99%

A Comparison Between Conventional and Terrain-Specific Adaptive Pushrim-Activated Power-Assisted Wheelchairs

Khalili

Kryt

Borisoff

2021

IEEE Trans. Neural Syst. Rehabil. Eng.

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“…Individuals possessing a high level of digital literacy exhibit more confidence when utilizing e-filling programs, as they have the requisite abilities to engage with the technology's interface and operations effectively. According to Khalili et al (2021), individuals may exhibit enhanced proficiency in managing intricate attributes, comprehending instructions, and surmounting potential technical hindrances. These capabilities can augment their assurance and enthusiasm to engage in e-filing.…”

Section: Source: Data Processed By Researchers 2024mentioning

confidence: 99%

The Effects of User Intention and User Satisfaction on E-Filling Adoption in Indonesia: A Systematic Literature Review

Lestari,

Digdowiseiso

2023

ATESTASI

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Intention, as the main indicator of an individual's desire to adopt a technology, influences the extent to which they are willing to use and invest in e-filling. The aim of this research is to find out how ser intention (user intention) has a significant effect on the level of e-filling adoption in Indonesia, and what factors motivate individuals to have high user intention towards technology. The structure of this research literature review reflects the systematic approach applied in conducting a literature review to support understanding the impact of User Intention and User Satisfaction on the adoption of E-Filling in Indonesia. The results of this research are that a holistic strategy that includes good interface design, support for social norms, increasing digital literacy, and meeting user expectations through security and efficiency is the key to achieving successful e-filling adoption in Indonesia.

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Fuzzy Inference-Based Driving Control System for Pushrim-Activated Power-Assisted Wheelchairs Considering User Characteristics

Seki

Kuramoto

2022

IEEE Trans. Human-Mach. Syst.

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A Comparison Between Conventional and User-Intention-Based Adaptive Pushrim-Activated Power-Assisted Wheelchairs

Cited by 4 publications

References 23 publications

A Comparison Between Conventional and Terrain-Specific Adaptive Pushrim-Activated Power-Assisted Wheelchairs

A Comparison Between Conventional and Terrain-Specific Adaptive Pushrim-Activated Power-Assisted Wheelchairs

The Effects of User Intention and User Satisfaction on E-Filling Adoption in Indonesia: A Systematic Literature Review

Fuzzy Inference-Based Driving Control System for Pushrim-Activated Power-Assisted Wheelchairs Considering User Characteristics

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