Results 31 to 40 of about 78,709 (143)
Generative Melody Composition with Human-in-the-Loop Bayesian Optimization
CoRR, 2020 Deep generative models allow even novice composers to generate various melodies by sampling latent vectors. However, finding the desired melody is challenging since the latent space is unintuitive and high-dimensional. In this work, we present an interactive system that supports generative melody composition with human-in-the-loop Bayesian optimization
Yijun Zhou +3 more
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Human-prosthesis cooperation: combining adaptive prosthesis control with visual feedback guided gait
Journal of NeuroEngineering and Rehabilitation, 2022 Background Personalizing prosthesis control is often structured as human-in-the-loop optimization. However, gait performance is influenced by both human control and intelligent prosthesis control.
Bretta L. Fylstra +4 more
doaj +1 more source
The Human in the Loop: EEG-driven Photo Optimization [PDF]
, 2013 This paper investigates the brain’s response to appealing and unappealing versions of images. We present results from several ElectroEncephaloGraph (EEG) experiments using images with varying levels of ‘pleasingness’ as stimuli, which shed light on the preference and perception of pleasing and displeasing image versions.
Mustafa, Maryam +2 more
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Continual Human-in-the-Loop Optimization
Proceedings of the 2025 CHI Conference on Human Factors in Computing SystemsOptimal input settings vary across users due to differences in motor abilities and personal preferences, which are typically addressed by manual tuning or calibration. Although human-in-the-loop optimization has the potential to identify optimal settings during use, it is rarely applied due to its long optimization process.
Yi-Chi Liao 0001 +4 more
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Optimal sepsis patient treatment using human-in-the-loop artificial intelligence
Expert Systems with Applications, 2021 Sepsis is one of the leading causes of death in Intensive Care Units (ICU). The strategy for treating sepsis involves the infusion of intravenous (IV) fluids and administration of antibiotics. Determining the optimal quantity of IV fluids is a challenging problem due to the complexity of a patient's physiology.
Akash Gupta +2 more
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A Novel Framework to Facilitate User Preferred Tuning for a Robotic Knee Prosthesis
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 The tuning of robotic prosthesis control is essential to provide personalized assistance to individual prosthesis users. Emerging automatic tuning algorithms have shown promise to ease the device personalization procedure.
Abbas Alili +6 more
doaj +1 more source
Concerted control framework for human-exoskeleton co-adaptation using ground reaction forces
Wearable TechnologiesEffective coordination between the human neuromuscular system and wearable assistive devices remains a key challenge in enhancing gait performance. We propose a concerted control strategy synchronizing biological and artificial actuators using shared ...
Vahid Firouzi +6 more
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On human-in-the-loop optimization of human–robot interaction
NatureFrom industrial exoskeletons to implantable medical devices, robots that interact closely with people are poised to improve every aspect of our lives. Yet designing these systems is very challenging; humans are incredibly complex and, in many cases, we respond to robotic devices in ways that cannot be modelled or predicted with sufficient accuracy.
Patrick Slade +11 more
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To Optimize Human-in-the-Loop Learning in Repeated Routing Games
IEEE Transactions on Mobile ComputingThis is the technical report of our TMC ...
Hongbo Li 0008, Lingjie Duan
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User preference in the personalized control of an ankle prosthesis: a case study
Journal of NeuroEngineering and RehabilitationPurpose User preference is important for improving the acceptance of assistive robotic devices. However, it is not clear what factors influence user preferences or how it relates with physiological variables, such as muscle activity.
María Alejandra Díaz +5 more
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