Digitizing human motion via bending sensors toward humanoid robot

J Liu, F Liao, Z Chen, R Zhou, X Zhong… - Advanced Intelligent …, 2023 - Wiley Online Library
A humanoid robot is an advanced representation of robot techniques. It can move like a
human and possesses the ability to use human tools. Sensing and intelligent control …

The state-of-the-art in ultrasound-guided spine interventions

HE Gueziri, C Santaguida, DL Collins - Medical Image Analysis, 2020 - Elsevier
During the last two decades, intra-operative ultrasound (iUS) imaging has been employed
for various surgical procedures of the spine, including spinal fusion and needle injections …

Accurate optoacoustic and inertial 3-D pose tracking of moving objects with particle filtering

D Esslinger, P Rapp, S Wiertz… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
In industrial environments, the determination of the positions and orientations of tools in
complex manual assembly processes allows an automated monitoring about the fulfillment …

Improving ultrasound-based indoor localization systems for quality assurance in manual assembly

D Esslinger, M Oberdorfer, M Zeitz… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Ultrasound-based indoor localization systems can be used for quality control in manual
assembly processes by localizing objects such as tools or human hands. For this purpose …

Synchronous wireless body sensor network enabling human body pose estimation

D Laurijssen, W Saeys, S Truijen, W Daems… - IEEE …, 2019 - ieeexplore.ieee.org
In this paper, a novel human body pose estimation system is introduced, which features a
synchronous network of wirelessly connected sensor nodes, thus forming a wireless body …

Simulation Training of E‐Sports Players Based on Wireless Sensor Network

F Qian - Wireless Communications and Mobile Computing, 2021 - Wiley Online Library
The application of wireless sensors in sports competitions is becoming more and more
common. This research mainly discusses the simulation training of e‐sports players based …

A3GC-IP: Attention-oriented adjacency adaptive recurrent graph convolutions for human pose estimation from sparse inertial measurements

P Puchert, T Ropinski - Computers & Graphics, 2023 - Elsevier
Conventional methods for human pose estimation either require a high degree of
instrumentation, by relying on many inertial measurement units (IMUs), or constraint the …

Graph powered machine learning in smart sensor networks

N Shrivastava, A Bhagat, R Nair - Smart Sensor Networks: Analytics …, 2021 - Springer
A generic representation of sensor network data can be done by inherent graph structure
within IoT sensor networks. We can develop a standardized graph-based framework and …

High precision opto-acoustic BPSK-CDMA distance measurement for object tracking

D Esslinger, P Rapp, O Sawodny… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
This contribution refers to an opto-acoustic indoor localization system for the tracking of
objects and hand movements in manual industrial assembly and handling processes as well …

Make it trackable: An instant magnetic tracking system with coil-free tiny trackers

R Shirai, Y Itoh, M Hashimoto - IEEE Access, 2021 - ieeexplore.ieee.org
Ambient intelligence aims to actualize the environment that sense and utilize information
around us without making us perceive the underlying systems. This work extends this …