Results 71 to 80 of about 9,689 (229)

Stair‐Climbing Wheelchairs for Enhanced Mobility: A Comprehensive Review of Fundamental Mechanisms, Design Concepts, and Performance Analysis

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT People with physical disabilities face significant mobility challenges while climbing uneven surfaces and staircases. In these circumstances, traditional wheelchairs do not provide stable, safely controlled mobility, underscoring the importance of building superior stair‐climbing wheelchairs for both medical and infrastructure purposes.
Gopisetti Manikanta   +10 more
wiley   +1 more source

Hexapod Locomotion Across Structured and Unstructured Terrains: A Data‐Driven Review of Modeling, Control, and Validation

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT The design of a hexapod is complex and requires integration between kinematic models, control systems, and sensing. Existing literature has reviewed these sub‐systems in isolation. Since 2021, there has been no review of the field despite significant advancements in soft soil, lunar traversal, and artificial intelligence.
Akhil Rampersad, Bashan Naidoo
wiley   +1 more source

Assessing the impact of body location on the accuracy of detecting daily activities with accelerometer data

open access: yesiScience
Summary: Recent advancements in digital biomarkers have highlighted the importance of accelerometer and gyroscope data for monitoring activities, identifying motion-related diseases, and assessing disease severity.
Xiangnan Dang   +4 more
doaj   +1 more source

T‐800: An 800 Hz Data Glove for Precise Hand Gesture Tracking

open access: yesSmartBot, EarlyView.
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

Gyroscope sensor data of shank motion during normal and barefoot walking

open access: yesData in Brief
In recent years, shank angular velocity (SAV) has emerged as a valuable tool for accurate temporal gait analysis and motion pattern assessment. To explore SAV among healthy subjects and its capability to distinguish differences between walking conditions,
Mikko Salminen   +6 more
doaj   +1 more source

A Smart Device Enabled System for Autonomous Fall Detection and Alert

open access: yesInternational Journal of Distributed Sensor Networks, 2016
The activity model based on 3D acceleration and gyroscope is created in this paper, and the difference between the activities of daily living (ADLs) and falls is analyzed at first.
Jian He, Chen Hu, Xiaoyi Wang
doaj   +1 more source

Training‐Efficient Personalised Knee Joint Moment Estimation via an Incremental Broad Learning System

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Knee joint moment estimation is a critical component in biomechanical analysis, with profound implications for rehabilitation assessment and the development of assistive devices like exoskeletons. However, existing data‐driven approaches often rely on highly complex network architectures in pursuit of high accuracy, resulting in inherently ...
Guoyu Zuo   +7 more
wiley   +1 more source

Brain‐Mimetic Mapless Navigation Framework Integrating Visual Streams and Entorhinal‐Hippocampal‐Prefrontal Circuits

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
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

Behavioural state identification from ultra‐high‐frequency movement data

open access: yesMethods in Ecology and Evolution, EarlyView.
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

THE STABILIZATION SYSTEM ON PAYLOAD BUILT ON A DYNAMICALLY TUNED GYROSCOPE

open access: yesПриборы и методы измерений, 2016
It is now widely distributed systems stabilization based on gyroscopes with three-degree-freedom and based on gyroscopes with ball suspension. The accuracy and resource of operation of such systems requires an increase.
D. M. Malyutin
doaj   +1 more source

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