Creatures great and smal: Recovering the shape and motion of animals from video
We present a system to recover the 3D shape and motion of a wide variety of quadrupeds
from video. The system comprises a machine learning front-end which predicts candidate …
from video. The system comprises a machine learning front-end which predicts candidate …
IRVINE: A design study on analyzing correlation patterns of electrical engines
In this design study, we present IRVINE, a Visual Analytics (VA) system, which facilitates the
analysis of acoustic data to detect and understand previously unknown errors in the …
analysis of acoustic data to detect and understand previously unknown errors in the …
Tac-trainer: a visual analytics system for IoT-based racket sports training
Conventional racket sports training highly relies on coaches' knowledge and experience,
leading to biases in the guidance. To solve this problem, smart wearable devices based on …
leading to biases in the guidance. To solve this problem, smart wearable devices based on …
Using dashboard networks to visualize multiple patient histories: a design study on post-operative prostate cancer
In this design study, we present a visualization technique that segments patients' histories
instead of treating them as raw event sequences, aggregates the segments using criteria …
instead of treating them as raw event sequences, aggregates the segments using criteria …
Explaining machine learning models for clinical gait analysis
Machine Learning (ML) is increasingly used to support decision-making in the healthcare
sector. While ML approaches provide promising results with regard to their classification …
sector. While ML approaches provide promising results with regard to their classification …
Visual‐interactive preprocessing of multivariate time series data
J Bernard, M Hutter, H Reinemuth… - Computer Graphics …, 2019 - Wiley Online Library
Pre‐processing is a prerequisite to conduct effective and efficient downstream data analysis.
Pre‐processing pipelines often require multiple routines to address data quality challenges …
Pre‐processing pipelines often require multiple routines to address data quality challenges …
KAVAGait: Knowledge-assisted visual analytics for clinical gait analysis
In 2014, more than 10 million people in the US were affected by an ambulatory disability.
Thus, gait rehabilitation is a crucial part of health care systems. The quantification of human …
Thus, gait rehabilitation is a crucial part of health care systems. The quantification of human …
[PDF][PDF] Approaches and challenges in the visual-interactive comparison of human motion data.
Many analysis goals involving human motion capture (MoCap) data require the comparison
of motion patterns. Pioneer works in visual analytics recently recognized visual comparison …
of motion patterns. Pioneer works in visual analytics recently recognized visual comparison …
LFPeers: Temporal similarity search and result exploration
M Sachdeva, J Burmeister, J Kohlhammer… - Computers & …, 2023 - Elsevier
In this paper, we introduce a general concept for the analysis of temporal and multivariate
data and the system LFPeers that applies this concept to temporal similarity search and …
data and the system LFPeers that applies this concept to temporal similarity search and …
A visual active learning system for the assessment of patient well-being in prostate cancer research
The assessment of patient well-being is highly relevant for the early detection of diseases,
for assessing the risks of therapies, or for evaluating therapy outcomes. The knowledge to …
for assessing the risks of therapies, or for evaluating therapy outcomes. The knowledge to …