Results 31 to 40 of about 250,812 (289)
Gaitmap—An Open Ecosystem for IMU-Based Human Gait Analysis and Algorithm Benchmarking
Goal: Gait analysis using inertial measurement units (IMUs) has emerged as a promising method for monitoring movement disorders. However, the lack of public data and easy-to-use open-source algorithms hinders method comparison and clinical application ...
Arne Kuderle +13 more
doaj +1 more source
“MigraineMonitor” – Towards a System for the Prediction of Migraine Attacks using Electrostimulation
Migraine attacks can be accompanied by many different symptoms, some of them appearing within 24 hours before the onset of the headache. In previous work, reduced habituation to an electrical pain stimulus at the head was observed in the pre-ictal phase ...
Stefke Andrea +6 more
doaj +1 more source
Machine and human observable differences in groups’ collaborative problem-solving behaviours [PDF]
This paper contributes to our understanding of how to design learning analytics to capture and analyse collaborative problem-solving (CPS) in practice-based learning activities.
B Schneider +14 more
core +1 more source
Gaining insight from large data volumes with ease [PDF]
Efficient handling of large data-volumes becomes a necessity in today's world. It is driven by the desire to get more insight from the data and to gain a better understanding of user trends which can be transformed into economic incentives (profits, cost-
Kuznetsov, Valentin
core +2 more sources
The Impact of Random Models on Standardized Clustering Similarity
Clustering similarity measures are essential for evaluating clustering results and ensuring diversity in multiple clusterings of the same dataset. Common indices like the Mutual Information (MI) and Rand Index (RI) are biased towards smaller clusters and
Kai Klede +3 more
doaj +1 more source
Activity monitoring using wearables is becoming ubiquitous, although accurate cycle level analysis, such as step-counting and gait analysis, are limited by a lack of realistic and labeled datasets. The effort required to obtain and annotate such datasets
Christine F. Martindale +2 more
doaj +1 more source
Insect classification and detection in field crops using modern machine learning techniques
The agriculture sector has an immense potential to improve the requirement of food and supplies healthy and nutritious food. Crop insect detection is a challenging task for farmers as a significant portion of the crops are damaged, and the quality is ...
Thenmozhi Kasinathan +2 more
doaj +1 more source
CPS Data Streams Analytics based on Machine Learning for Cloud and Fog Computing: A Survey [PDF]
Cloud and Fog computing has emerged as a promising paradigm for the Internet of things (IoT) and cyber-physical systems (CPS). One characteristic of CPS is the reciprocal feedback loops between physical processes and cyber elements (computation ...
Chao, Kuo-Ming +7 more
core +2 more sources
Background Gait symptoms and balance impairment are characteristic indicators for the progression in Parkinson’s disease (PD). Current gait assessments mostly focus on straight strides with assumed constant velocity, while acceleration/deceleration and ...
An Nguyen +7 more
doaj +1 more source
Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges
The widespread popularity of smart meters enables an immense amount of fine-grained electricity consumption data to be collected. Meanwhile, the deregulation of the power industry, particularly on the delivery side, has continuously been moving forward ...
Chen, Qixin +3 more
core +1 more source

