- Tactile and Sensory Interactions
- Visual perception and processing mechanisms
- Human Pose and Action Recognition
- Gait Recognition and Analysis
- Video Surveillance and Tracking Methods
- Neural dynamics and brain function
- Multisensory perception and integration
- Virtual Reality Applications and Impacts
- Teleoperation and Haptic Systems
- Stroke Rehabilitation and Recovery
- Neural and Behavioral Psychology Studies
- EEG and Brain-Computer Interfaces
- Balance, Gait, and Falls Prevention
- Music Technology and Sound Studies
- Diverse Music Education Insights
- Photoreceptor and optogenetics research
- Motor Control and Adaptation
- Multimedia Communication and Technology
- Muscle activation and electromyography studies
- Ocular and Laser Science Research
- Advanced Optical Sensing Technologies
- Neuroscience and Music Perception
- Hand Gesture Recognition Systems
- Interactive and Immersive Displays
- Ergonomics and Musculoskeletal Disorders
Technische Universität Dresden
2020-2025
Deutsche Telekom (Slovakia)
2022-2023
Lifespan
2022
University of Trento
2014-2022
New York University Abu Dhabi
2022
Sichuan Normal University
2022
Yunnan University
2022
When processing dynamic input, the brain balances opposing needs of temporal integration and sensitivity to change. We hypothesized that visual system might resolve this challenge by aligning windows onset newly arriving sensory samples. In a series experiments, human participants observed same sequence two displays separated brief blank delay when performing either an or segregation task. First, using magneto-encephalography (MEG), we found shift in stimulus-evoked time courses 150-ms...
Abstract Although sensory input is continuous, information must be combined over time to guide action and cognition, leading the proposal of temporal sampling windows. A number studies have suggested that a 10-Hz window might involved in “frame rate” visual processing. To investigate this, we tested ability participants localize enumerate 1 or 2 flashes presented either at near-threshold full-contrast intensities, while recording magnetoencephalography. The inter-stimulus interval (ISI)...
Numerous technological solutions have been proposed to promote piano learning and teaching, but very few with market success. We are convinced that users’ needs should be the starting point for an effective transdisciplinary development process of piano-related Tactile Internet Human-in-the-Loop (TaHIL) applications. Thus, we propose include end users in initial stage technology development. gathered insights from adult teachers students through online survey digital interviews. Three...
Abstract This dataset (named CeTI-Age-Kinematics ) fills the gap in existing motion capture (MoCap) data by recording kinematics of full-body movements during daily tasks an age-comparative sample with 32 participants two groups: older adults (66–75 years) and younger (19–28 years). The were recorded using sensor suits gloves inertial measurement units (IMUs). features 30 common elemental that are grouped into nine categories, including simulated interactions imaginary objects. Kinematic...
Gait recognition is the process of identifying humans from their bipedal locomotion such as walking or running. As such, gait data privacy sensitive information and should be anonymized where possible. With rise higher quality recording techniques, depth cameras motion capture suits, an increasing amount detailed captured processed. The introduction Metaverse example a potentially popular application scenario in which users transferred onto digital avatars. first step towards developing...
In this article, we present a comprehensive scheme for the quality assessment of compressed vibrotactile signals with human assessors. Inspired by multiple stimulus test hidden reference and anchors (MUSHRA) from audio domain, designed method in which each signal is compared to its original rated on numerical scale. For tested, two anchor are used validate results provide assessor screening criteria. Differing previous approaches, our hierarchically structured strictly timed sequential...
Kinematic data is a valuable source of movement information that provides insights into the health status, mental state, and motor skills individuals. Additionally, kinematic can serve as biometric data, enabling identification personal characteristics such height, weight, sex. In CeTI-Locomotion, four types walking tasks 5 times sit-to-stand test (5RSTST) were recorded from 50 young adults wearing motion capture (mocap) suits equipped with Inertia-Measurement-Units (IMU). Our dataset unique...
Design and optimization of vibrotactile codecs require precise measurements the compressed signals' perceptual quality. In this paper, we present two computational approaches for estimating signal First, propose a novel full-reference quality metric called Spectral Perceptual Quality Index (SPQI), which computes similarity score based on computed perceptually weighted error measure. Second, use concept Multi-Method Assessment Fusion (MAF) to predict subjective MAF uses Support Vector Machine...
Abstract The Tactile Internet aims to advance human-human and human-machine interactions that also utilize hand movements in real, digitized, remote environments. Attention elderly generations is necessary make the age inclusive. We present first age-representative kinematic database consisting of various gesturing grasping at individualized paces, thus capturing naturalistic movements. this comprehensive across adult lifespan ( CeTI-Age-Kinematic-Hand ) publicly available facilitate a...
Dynamic vision must balance the need to accumulate sensory evidence over time and maintain stability of current perceptual representation. Those opposing needs visual system can be subserved by an intricate interplay between rapid saccadic eye movements longer lasting fixations on relevant parts environment. Here we investigate whether influence ability integrate successive input time. We took advantage a temporal integration paradigm that requires observers perceptually bridge short gap two...
Research and development of telerobotic systems supplemented by haptic feedback for future planetary exploration missions has gained significant importance in the past decade. Major space agencies endeavor to deploy such before sending humans surface unknown or unexplored celestial bodies. Astronauts control these from remote locations, as an orbital station. Haptic teleoperating robots outer is extremely important, not only improve user immersion task performance, but also our understanding...
The FingerTac provides vibrotactile feedback at the palmar side of finger while keeping it unobstructed. Yet, wearability aspects have been a shortcoming in design. We propose redesign that enhances preserving functionality. was evaluated compared to original design user study. Our perceived as more comfortable, performance and haptic sensation were sustained. However, inferior generating localized perceptions on finger. This highlights importance balancing functional requirements when...
Gait recognition is the process of identifying humans from their bipedal locomotion such as walking or running. As such, gait data privacy sensitive information and should be anonymized where possible. With rise higher quality recording techniques, depth cameras motion capture suits, an increasing amount detailed captured processed. The introduction Metaverse example a potentially popular application scenario in which users transferred onto digital avatars. first step towards developing...
Abstract Although sensory input is continuous, information must be combined over time to guide action and cognition, leading the proposal of temporal sampling windows. A number studies have suggested that a 10Hz window might involved in “frame rate” visual processing. To investigate this, we tested ability participants localize enumerate 1 or 2 flashes presented either at near-threshold (NT) full contrast intensities, while recording magnetoencephalography (MEG). Performance was linked alpha...