Interactive imitation learning in robotics: A survey

C Celemin, R Pérez-Dattari, E Chisari… - … and Trends® in …, 2022 - nowpublishers.com
Interactive Imitation Learning in Robotics: A Survey Page 1 Interactive Imitation Learning in
Robotics: A Survey Page 2 Other titles in Foundations and Trends® in Robotics A Survey on …

Stretchable, breathable, and washable fabric sensor for human motion monitoring

L Sanchez‐Botero, A Agrawala… - Advanced Materials …, 2023 - Wiley Online Library
Wearable strain sensors for movement tracking are a promising paradigm to improve clinical
care for patients with neurological or musculoskeletal conditions, with further applicability to …

A comprehensive analysis of the validity and reliability of the perception neuron studio for upper-body motion capture

Y Wu, K Tao, Q Chen, Y Tian, L Sun - Sensors, 2022 - mdpi.com
The Perception Neuron Studio (PNS) is a cost-effective and widely used inertial motion
capture system. However, a comprehensive analysis of its upper-body motion capture …

Modeling of Nonlinear Dynamic Processes of Human Movement in Virtual Reality Based on Digital Shadows

A Obukhov, D Dedov, A Volkov, D Teselkin - Computation, 2023 - mdpi.com
In virtual reality (VR) systems, a problem is the accurate reproduction of the user's body in a
virtual environment using inverse kinematics because existing motion capture systems have …

Handwriting recognition under natural writing habits based on a low-cost inertial sensor

Y Wang, Y Zhao - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Compared with human–computer interaction in terms of optical and speech signals, inertial
sensor-based handwriting recognition is more competitive due to low power consumption …

Measuring spatiotemporal parameters on treadmill walking using wearable inertial system

S Scataglini, S Verwulgen, E Roosens, R Haelterman… - Sensors, 2021 - mdpi.com
This study aims to measure and compare spatiotemporal gait parameters in nineteen
subjects using a full wearable inertial mocap system Xsens (MVN Awinda, Netherlands) and …

Real-time human motion tracking and reconstruction using IMU sensors

B Chakravarthi, BMP Prasad… - 2022 International …, 2022 - ieeexplore.ieee.org
Human body-strap-based, and sensor-mounted clothing-based easy-to-wear motion capture
systems have generated a lot of interest and been thoroughly investigated in recentm times …

Scenario-based sensed human motion editing and validation through the motion-sphere

B Chakravarthi, AK Patil, JY Ryu… - IEEE …, 2022 - ieeexplore.ieee.org
Synthesizing realistic human motion data using a real-time motion capture system in a
controlled environment is a critical challenge. In addition, effectively manipulating the …

The Potential Role of Wearable Inertial Sensors in Laboring Women with Walking Epidural Analgesia

M Dziadzko, A Péneaud, L Bouvet, T Robert, L Fradet… - Sensors, 2024 - mdpi.com
There is a growing interest in wearable inertial sensors to monitor and analyze the
movements of pregnant women. The noninvasive and discrete nature of these sensors …

MocapMe: DeepLabCut-Enhanced Neural Network for Enhanced Markerless Stability in Sit-to-Stand Motion Capture

D Milone, F Longo, G Merlino, C De Marchis… - Sensors, 2024 - mdpi.com
This study examined the efficacy of an optimized DeepLabCut (DLC) model in motion
capture, with a particular focus on the sit-to-stand (STS) movement, which is crucial for …