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Drivers Drowsiness Detection using Condition-Adaptive Representation Learning Framework
We propose a condition-adaptive representation learning framework for th...
10/22/2019 ∙ by Jongmin Yu, et al. ∙
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On the Feasibility of Wearable Exotendon Networks for Whole-Hand Movement Patterns in Stroke Patients
Fully wearable hand rehabilitation and assistive devices could extend tr...
12/19/2017 ∙ by Sangwoo Park, et al. ∙
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Design and Development of Effective Transmission Mechanisms on a Tendon Driven Hand Orthosis for Stroke Patients
Tendon-driven hand orthoses have advantages over exoskeletons with respe...
02/16/2018 ∙ by Sangwoo Park, et al. ∙
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EMG Pattern Classification to Control a Hand Orthosis for Functional Grasp Assistance after Stroke
Wearable orthoses can function both as assistive devices, which allow th...
02/01/2018 ∙ by Cassie Meeker, et al. ∙
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Multimodal Sensing and Interaction for a Robotic Hand Orthosis
Wearable robotic hand rehabilitation devices can allow greater freedom a...
07/31/2018 ∙ by Sangwoo Park, et al. ∙
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Learning How to Demodulate from Few Pilots via Meta-Learning
Consider an Internet-of-Things (IoT) scenario in which devices transmit ...
03/06/2019 ∙ by Sangwoo Park, et al. ∙
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Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning
This paper considers an Internet-of-Things (IoT) scenario in which devic...
08/23/2019 ∙ by Sangwoo Park, et al. ∙
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Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels
When a channel model is available, learning how to communicate on fading...
10/22/2019 ∙ by Sangwoo Park, et al. ∙
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User-Driven Functional Movement Training with a Wearable Hand Robot after Stroke
We studied the performance of a robotic orthosis designed to assist the ...
11/18/2019 ∙ by Sangwoo Park, et al. ∙
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From Learning to Meta-Learning: Reduced Training Overhead and Complexity for Communication Systems
Machine learning methods adapt the parameters of a model, constrained to...
01/05/2020 ∙ by Osvaldo Simeone, et al. ∙
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End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-Learning
When a channel model is not available, the end-to-end training of encode...
03/03/2020 ∙ by Sangwoo Park, et al. ∙
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