Results 31 to 40 of about 156,269,237 (277)

A Two-Layer Human-in-the-Loop Optimization Framework for Customizing Lower-Limb Exoskeleton Assistance

, 2023
Task-invariant control paradigms can enable lowerlimb exoskeletons to provide assistance for their users across various locomotor tasks without prescribing to specific joint kinematics.
Siqi Zheng (14843411), Ge Lv (13817104)
core   +1 more source

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, Yuki Koyama 0001, Masataka Goto, Takeo Igarashi   +3 more
openaire   +4 more sources

A Comparison of Direct and Indirect Flexibilities on the Self-Consumption of an Office Building: The Case of Predis-MHI, a Smart Office Building

Frontiers in Energy Research, 2022
The purpose of this paper is to provide a method for assessing the impact of direct and indirect flexibilities on the self-consumption of office buildings. The goal is to assess how both the human actors and technical interventions can affect or mitigate
Nana Kofi Twum-Duah, Nana Kofi Twum-Duah, Manar Amayri, Stéphane Ploix, Frédéric Wurtz   +4 more
doaj   +1 more source

Loop transformations in the ahead-of-time optimization of Java bytecode [PDF]

, 2006
Loop optimizations such as loop unrolling, unfolding and invariant code motion have long been used in a wide variety of compilers to improve the running time of applications.
Hammond, S, Simon Hammond, David Lacey, Hammond, Simon D., Lacey, David   +4 more
core   +1 more source

Video1_Reducing the muscle activity of walking using a portable hip exoskeleton based on human-in-the-loop optimization.AVI

, 2023
Introduction: Human-in-the-loop optimization has made great progress to improve the performance of wearable robotic devices and become an effective customized assistance strategy.
Zehao Yan (15407027), Xiaoguang Liu, Yuting Chen, Canjun Yang, Linghui Xu (6295400), Canjun Yang (15407030), Linfan Yu, Linfan Yu (15407024), Linghui Xu, Zehao Yan, Congcong Zhou, Congcong Zhou (7816118), Wei Yang, Xiaoguang Liu (109982), Wei Yang (109917), Yuting Chen (151583)   +15 more
core   +1 more source

Human-in-the-loop Planning of Mobile Robots

, 2022
Human-in-the-loop control for mobile robots is an important aspect of robot operation, especially for navigation in unstructured environments or in the case of unexpected events.
Xuning Yang (4939801)
core   +1 more source

Optimization of Reservoir Waterflooding [PDF]

, 2014
Waterflooding is a common type of oil recovery techniques where water is pumped into the reservoir for increased productivity. Reservoir states change with time, as such, different injection and production settings will be required to lead the process
Grema, Alhaji Shehu
core   +4 more sources

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, I-Chieh Lee, Minhan Li, Michael D. Lewek, He Huang   +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, Guthe, Stefan, Magnor, Marcus   +2 more
openaire   +1 more source

Continual Human-in-the-Loop Optimization

Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
Optimal 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, Paul Streli, Zhipeng Li 0001, Christoph Gebhardt, Christian Holz 0001   +4 more
openaire   +4 more sources