Word and Gender Identification in the Speech of Transgender Individuals.

Listeners use speech to identify both linguistic information, such as the word being produced, and indexical attributes, such as the gender of the speaker. Previous research has shown that these two aspects of speech perception are interrelated. It is important to understand this relationship in the context of gender-affirming voice training (GAVT), where changes in speech production as part of a speaker's gender-affirming care could potentially influence listeners' recognition of the intended utterance.

Automated Classification of Dyadic Conversation Scenarios using Autonomic Nervous System Responses.

Two people's physiological responses become more similar as those people talk or cooperate, a phenomenon called physiological synchrony. The degree of synchrony correlates with conversation engagement and cooperation quality, and could thus be used to characterize interpersonal interaction. In this study, we used a combination of physiological synchrony metrics and pattern recognition algorithms to automatically classify four different dyadic conversation scenarios: two-sided positive conversation, two-sided negative conversation, and two one-sided scenarios.

Effects of a Passive Back Support Exoskeleton when Lifting and Carrying Lumber Boards.

Passive back support exoskeletons, which support the human trunk using elements like springs and elastic bands, have demonstrated positive results in laboratory-based studies, but have seen significantly less field testing. As an intermediate step between generic lab evaluations and field tests, we conducted a single-session lab evaluation of the HeroWear Apex exoskeleton with mockup construction tasks: 20 adult men (without extensive construction experience) lifted, carried and raised lumber boards (265 cm length, up to 18 kg total load). The exoskeleton significantly reduced mean erector spinae electromyograms, with effect sizes (Cohen's d) ranging from -0.

Automated Patient-Robot Task Assignment in a Simulated Stochastic Rehabilitation Gym.

Rehabilitation after neurological injury can be provided by robots that help patients perform different exercises. Multiple such robots can be combined in a rehabilitation robot gym to allow multiple patients to perform a diverse range of exercises simultaneously. In pursuit of better multipatient supervision, we aim to develop an automated assignment system that assigns patients to different robots during a training session to maximize their skill development.

Learning Skill Training Schedules From Domain Experts for a Multi-Patient Multi-Robot Rehabilitation Gym.

A robotic gym with multiple rehabilitation robots allows multiple patients to exercise simultaneously under the supervision of a single therapist. The multi-patient training outcome can potentially be improved by dynamically assigning patients to robots based on monitored patient data. In this paper, we present an approach to learn dynamic patient-robot assignment from a domain expert via supervised learning.

Effects of the Auxivo CarrySuit occupational exoskeleton when carrying front and side loads on a treadmill.

Low-cost exoskeletons can effectively support workers in physically demanding jobs, but most such exoskeletons have been developed to support repetitive lifting or uncomfortable static postures. Very few low-cost exoskeletons have been designed to support walking while carrying heavy objects, which would be beneficial for jobs such as moving furniture and warehouse work. This paper thus presents a single-session lab evaluation of the Auxivo CarrySuit, a low-cost upper-body exoskeleton designed for carrying objects that would normally be held with the arms.

Automated patient-robot assignment for a robotic rehabilitation gym: a simplified simulation model.

Background: A robotic rehabilitation gym can be defined as multiple patients training with multiple robots or passive sensorized devices in a group setting. Recent work with such gyms has shown positive rehabilitation outcomes; furthermore, such gyms allow a single therapist to supervise more than one patient, increasing cost-effectiveness. To allow more effective multipatient supervision in future robotic rehabilitation gyms, we propose an automated system that could dynamically assign patients to different robots within a session in order to optimize rehabilitation outcome.

Learning Dynamic Patient-Robot Task Assignment and Scheduling for A Robotic Rehabilitation Gym.

A robotic rehabilitation gym is a setup that allows multiple patients to exercise together using multiple robots. The effectiveness of training in such a group setting could be increased by dynamically assigning patients to specific robots. In this simulation study, we develop an automated system that dynamically makes patient-robot assignments based on measured patient performance to achieve optimal group rehabilitation outcome.

Short-term effects of the Auxivo LiftSuit during lifting and static leaning.

Back support exosuits can support workers in physically demanding jobs by reducing muscle load, which could reduce risk of work-related musculoskeletal disorders. This paper presents a two-session evaluation of a commercial exosuit, the Auxivo LiftSuit 1.1.

Considerations for Voice and Communication Training Software for Transgender and Nonbinary People.

Transgender and gender diverse people often experience voice-gender incongruence, which is inversely correlated with health and quality of life. Such incongruence could be reduced with voice and communication training, but expert-administered training is often inaccessible while self-guided training is difficult and potentially risky. Training could alternatively be provided through software (eg, smartphone apps), but such software is at an early stage.