- Muscle activation and electromyography studies
- EEG and Brain-Computer Interfaces
- Agriculture and Farm Safety
- Soil Mechanics and Vehicle Dynamics
- Motor Control and Adaptation
- Agricultural Engineering and Mechanization
- Mind wandering and attention
- Gaze Tracking and Assistive Technology
- Human-Automation Interaction and Safety
- Stroke Rehabilitation and Recovery
- Automotive and Human Injury Biomechanics
- Neural and Behavioral Psychology Studies
- Cerebral Palsy and Movement Disorders
- Balance, Gait, and Falls Prevention
University of Washington
2022-2024
Seattle University
2024
University of California, Davis
2022
Abstract In 2023, the National Science Foundation (NSF) and Institute of Health (NIH) brought together engineers, scientists, clinicians by sponsoring a conference on computational modelling in neurorehabiilitation. To facilitate multidisciplinary collaborations improve patient care, this perspective piece we identify where how can support neurorehabilitation. address where, developed patient-in-the-loop framework that uses multiple and/or continual measurements to update diagnostic...
Myoelectric interfaces hold promise in consumer and health applications, but they are currently limited by variable performance across users poor generalizability tasks. To address these limitations, we consider that continually adapt during operation. Although current adaptive can reduce inter-subject variability, still generalize poorly between tasks because make use of task-specific data training. this limitation, propose a new paradigm to myoelectric using natural eye gaze as training...
Utility All-Terrain Vehicles (ATVs) are commonly used on farms for agricultural activities such as carrying implements, applying fertilizers, and transportation. Among all ATV incidents farms, rollover crushes the leading cause of fatalities. Crush Protection Devices (CPDs) passive safety structures that potentially decrease severity injuries number deaths in incidents. However, there contradictions results previous studies regarding effectiveness CPDs protecting operator The should be...
Abstract Despite the growing prevalence of adaptive systems in daily life, methods for analysis and synthesis these are limited. Here we find theoretical obstacles to creating optimization-based algorithms that co-adapt with people presence dynamic machines. These limitations motivate us conduct human subjects experiments interfaces, where an interface decreases effort while improving closed-loop system performance during interaction a machine has complex dynamics. Finally, computational...
Abstract. Crush Protection Device (CPD) could potentially decrease the severity of injuries and number fatalities in agricultural All-Terrain Vehicle (ATV) rollover crushes. CPD is a passive safety structure that protects operator ATV incidents. The effectiveness CPDs should be evaluated experimentally with an autonomous order to conduct repeatable accurate tests. long-term goal this study evaluate performance experimental accidents using which includes speed, brake, steering control...
<b><sc>Abstract.</sc></b> The rollover crashes are the leading cause of fatalities in agricultural all-terrain vehicle (ATV) incidents. Crush Protection Device (CPD) is a passive safety structure that could protect operator ATV There some contradictions results previous studies regarding effectiveness CPDs protecting Also, no study evaluated CPD performance incidents which usually happens at low speed. needs to be by conducting experimental incident tests. A remotely controlled was developed...
Electromyography (EMG) interfaces are a promising alternative to traditional manual such as joysticks, mice, and touchscreens for applications prosthetics, rehabilitation, human-computer interaction. McRuer's crossover model has been extensively studied determine the impacts of dynamical systems on humans using interfaces; however, same analysis not conducted with EMG or more complex systems. In this paper, we establish assess changes in human parameters (gain delay) bandwidth (joystick)...
Abstract In human/machine interfaces (HMI), humans can interact with dynamic machines through a variety of sensory and motor modalities. Redundant modalities are known to have advantages in both human sensorimotor control human-computer interaction: redundancy provides abundant solutions achieve tasks; incorporating diverse features from different has improved the performance movement-, gesture-, brain-controlled computer interfaces. Our objective is investigate whether redundant enhance for...
In human/machine interfaces (HMI), humans can interact with dynamic machines through a variety of sensory and motor modalities. Redundant modalities are known to have advantages in both human sensorimotor control human-computer interaction: redundancy provides abundant solutions achieve tasks; incorporating diverse features from different has improved the performance movement-, gesture-, brain-controlled computer interfaces. Our objective is investigate whether redundant enhance for...