AIMC Topic: Running

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An insect-scale robot reveals the effects of different body dynamics regimes during open-loop running in feature-laden terrain.

Bioinspiration & biomimetics Feb 3, 2022
The transition from the lab to natural environments is an archetypal challenge in robotics. While larger robots can manage complex limb-ground interactions using sensing and control, such strategies are difficult to implement on small platforms where...
Biomechanical Phenomena Animals Gait Running Cockroaches Robotics Walking
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A support vector machine algorithm can successfully classify running ability when trained with wearable sensor data from anatomical locations typical of consumer technology.

Sports biomechanics Jan 20, 2022
Greater understanding of differences in technique between runners may allow more beneficial feedback related to improving performance and decreasing injury risk. The purpose of this study was to develop and test a support vector machine classifier, w...
Humans Accelerometry Upper Extremity Male Adult Wearable Electronic Devices Running Biomechanical Phenomena Support Vector Machine Female Acceleration Young Adult
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Human Activity Recognition Based on Residual Network and BiLSTM.

Sensors (Basel, Switzerland) Jan 14, 2022
Due to the wide application of human activity recognition (HAR) in sports and health, a large number of HAR models based on deep learning have been proposed. However, many existing models ignore the effective extraction of spatial and temporal featur...
Humans Neural Networks, Computer Running Human Activities Deep Learning Walking
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Gait and locomotion analysis of a soft-hybrid multi-legged modular miniature robot.

Bioinspiration & biomimetics Sep 28, 2021
The locomotion performance of the current legged miniature robots remains inferior compared to even the most simple insects. The inferiority has led researchers to utilize biological principles and control in their designs, often resulting in improve...
Biomimetics Locomotion Robotics Gait Running
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Reducing the energy cost of running using a lightweight, low-profile elastic exosuit.

Journal of neuroengineering and rehabilitation Aug 30, 2021
BACKGROUND: Human beings can enhance their distance running performance with the help of assistive devices. Although several such devices are available, they are heavy and bulky, which limits their use in everyday activities. In this study, we develo...
Humans Adult Biomechanical Phenomena Young Adult Running Robotics Walking Exoskeleton Device
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Anisotropic compliance of robot legs improves recovery from swing-phase collisions.

Bioinspiration & biomimetics Aug 12, 2021
Uneven terrain in natural environments challenges legged locomotion by inducing instability and causing limb collisions. During the swing phase, the limb releases from the ground and arcs forward to target a secure next foothold. In natural environme...
Locomotion Walking Running Biomechanical Phenomena Robotics
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Design and Research of All-Terrain Wheel-Legged Robot.

Sensors (Basel, Switzerland) Aug 9, 2021
Aiming at the crossing problem of complex terrain, to further improve the ability of obstacles crossing, this paper designs and develops an all-terrain wheel-legged hybrid robot (WLHR) with strong adaptability to the environment. According to the ope...
Biomechanical Phenomena Robotics Motion Movement Running
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Moving the Lab into the Mountains: A Pilot Study of Human Activity Recognition in Unstructured Environments.

Sensors (Basel, Switzerland) Jan 19, 2021
GOAL: To develop and validate a field-based data collection and assessment method for human activity recognition in the mountains with variations in terrain and fatigue using a single accelerometer and a deep learning model.
Human Activities Humans Walking Neural Networks, Computer Data Analysis Running Pilot Projects
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Multidimensional Ground Reaction Forces and Moments From Wearable Sensor Accelerations via Deep Learning.

IEEE transactions on bio-medical engineering Dec 21, 2020
OBJECTIVE: Monitoring athlete internal workload exposure, including prevention of catastrophic non-contact knee injuries, relies on the existence of a custom early-warning detection system. This system must be able to estimate accurate, reliable, and...
Biomechanical Phenomena Deep Learning Humans Acceleration Wearable Electronic Devices Running
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A Random Forest Machine Learning Framework to Reduce Running Injuries in Young Triathletes.

Sensors (Basel, Switzerland) Nov 9, 2020
BACKGROUND: The running segment of a triathlon produces 70% of the lower limb injuries. Previous research has shown a clear association between kinematic patterns and specific injuries during running.
Athletic Injuries Biomechanical Phenomena Electromyography Adolescent Humans Gait Running Machine Learning Athletes
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