Results 81 to 90 of about 8,781 (241)
T‐800: An 800 Hz Data Glove for Precise Hand Gesture Tracking
Hand motion capture provides critical insights into human dexterity and facilitates advancements in robotic manipulation, yet existing systems are limited by a trade‐off between temporal resolution and visual occlusion. Here, the authors present T‐800, a high‐bandwidth data glove achieving synchronized full‐hand motion capturing at 800 Hz.
Haoyang Luo +7 more
wiley +1 more source
The ability to stand up from a sitting position is essential for older adults to live independently. Body-fixed inertial sensors may provide an approach for quantifying the sit-to-stand (STS) in clinical settings.
Rob C. van Lummel +4 more
doaj +1 more source
A Hierarchical-Based Learning Approach for Multi-Action Intent Recognition
Recent applications of wearable inertial measurement units (IMUs) for predicting human movement have often entailed estimating action-level (e.g., walking, running, jumping) and joint-level (e.g., ankle plantarflexion angle) motion. Although action-level
David Hollinger +4 more
doaj +1 more source
An Implantable Sensorized Lead for Continuous Monitoring of Cardiac Apex Rotation
Changes in the pattern or amplitude of cardiac rotation have been associated with important cardiovascular diseases, including Heart Failure (HF) which is one of the major health problems worldwide.
Emanuela Marcelli, Laura Cercenelli
doaj +1 more source
ABSTRACT Efficient autonomous navigation in complex and unstructured environments without pre‐existing maps remains a significant challenge for mobile robotics. Drawing inspiration from rodent neural architectures, this study proposes a brain‐mimetic mapless navigation framework for mobile robots.
Yishen Liao +3 more
wiley +1 more source
Video data recovery from slack space of pre‐allocated video files
Abstract The recovery of video evidence from dashboard cameras is often compromised by damage, file system errors, or circular recording mechanisms that overwrite older data. Traditional digital forensic techniques primarily focus on file carving and frame recovery from the unallocated area of storage media. However, this approach is often insufficient
Junseok Byun +2 more
wiley +1 more source
Behavioural state identification from ultra‐high‐frequency movement data
Abstract The hidden Markov model (HMM) is a central framework for identifying behavioural state changes from animal movement data. In this context, movement is typically represented as a sequence of observed metrics, such as step length and turning angle distributions, generated by an unobserved behavioural state process.
Abdulmajeed F. Alharbi +4 more
wiley +1 more source
Abstract Purpose To determine the relationship between the baseline junctional retinal sensitivity measured with microperimetry and the atrophy progression rate in eyes with geographic atrophy (GA) secondary to age‐related macular degeneration. Methods In this prospective cohort study, patients with GA were examined with fundus autofluorescence (FAF ...
Alexander Kai Thomsen +5 more
wiley +1 more source

