Search Results - "Zhelong Wang"
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Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges
Published in Information fusion (01-04-2022)“…This paper firstly introduces common wearable sensors, smart wearable devices and the key application areas. Since multi-sensor is defined by the presence of…”
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Stance-Phase Detection for ZUPT-Aided Foot-Mounted Pedestrian Navigation System
Published in IEEE/ASME transactions on mechatronics (01-12-2015)“…Zero velocity updates (ZUPT) is an effective way for the foot-mounted inertial pedestrian navigation systems. For the ZUPT technique to work properly, it is…”
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Using Distributed Wearable Sensors to Measure and Evaluate Human Lower Limb Motions
Published in IEEE transactions on instrumentation and measurement (01-04-2016)“…This paper presents a wearable sensor approach to motion measurements of human lower limbs, in which subjects perform specified walking trials at…”
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Driving Behavior Tracking and Recognition Based on Multisensors Data Fusion
Published in IEEE sensors journal (15-09-2020)“…Driving behavior tracking and recognition are essential for traffic safety. This paper proposes a driving behavior monitoring and analysis method based on…”
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CPG-Inspired Locomotion Control for a Snake Robot Basing on Nonlinear Oscillators
Published in Journal of intelligent & robotic systems (01-02-2017)“…The article focuses on locomotion control of a snake-like robot with cardan joints using a central pattern generator (CPG) approach. A double chain structure…”
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A Triaxial Accelerometer-Based Human Activity Recognition via EEMD-Based Features and Game-Theory-Based Feature Selection
Published in IEEE sensors journal (01-05-2016)“…In recent years, sensor-based human activity recognition has attracted lots of studies. This paper presents a single wearable triaxial accelerometer-based…”
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An Incremental Learning Method Based on Probabilistic Neural Networks and Adjustable Fuzzy Clustering for Human Activity Recognition by Using Wearable Sensors
Published in IEEE transactions on information technology in biomedicine (01-07-2012)“…Human activity recognition by using wearable sensors has gained tremendous interest in recent years among a range of health-related areas. To automatically…”
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Badminton Stroke Recognition Based on Body Sensor Networks
Published in IEEE transactions on human-machine systems (01-10-2016)“…A badminton training system based on body sensor networks has been proposed. The system may recognize different badminton strokes of badminton players. A…”
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Smartphone-Based 3D Indoor Pedestrian Positioning through Multi-Modal Data Fusion
Published in Sensors (Basel, Switzerland) (19-10-2019)“…Combining research areas of biomechanics and pedestrian dead reckoning (PDR) provides a very promising way for pedestrian positioning in environments where…”
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10
Canoeing Motion Tracking and Analysis via Multi-Sensors Fusion
Published in Sensors (Basel, Switzerland) (08-04-2020)“…Coaches and athletes are constantly seeking novel training methodologies in an attempt to improve athletic performance. This paper proposes a method of rowing…”
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Prediction of Joint Angles Based on Human Lower Limb Surface Electromyography
Published in Sensors (Basel, Switzerland) (01-06-2023)“…Wearable exoskeletons can help people with mobility impairments by improving their rehabilitation. As electromyography (EMG) signals occur before movement,…”
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MEMS Inertial Sensors Based Gait Analysis for Rehabilitation Assessment via Multi-Sensor Fusion
Published in Micromachines (Basel) (03-09-2018)“…Gait and posture are regular activities which are fully controlled by the sensorimotor cortex. In this study, fluctuations of joint angle and asymmetry of foot…”
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13
A Bristle-Based Pipeline Robot for Ill-Constraint Pipes
Published in IEEE/ASME transactions on mechatronics (01-06-2008)“…This paper presents the study of a pipeline robot based on a bristle mechanism. The bristle mechanism shows great flexibility and makes the pipeline robot to…”
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14
Body Sensor Network-Based Robust Gait Analysis: Toward Clinical and at Home Use
Published in IEEE sensors journal (01-10-2019)“…Gait analysis has become an important tool for diagnosing disease and evaluating disease progression. Currently gait analysis was mainly conducted by…”
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Towards Wearable-Inertial-Sensor-Based Gait Posture Evaluation for Subjects with Unbalanced Gaits
Published in Sensors (Basel, Switzerland) (21-02-2020)“…Human gait reflects health condition and is widely adopted as a diagnostic basisin clinical practice. This research adopts compact inertial sensor nodes to…”
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Pedestrian Dead Reckoning Using Pocket-Worn Smartphone
Published in IEEE access (2019)“…Indoor pedestrian dead reckoning (PDR) extends the location-based service (LBS) to environments, where GPS or beacon signals are degraded or unavailable. A…”
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Using Body-Worn Sensors for Preliminary Rehabilitation Assessment in Stroke Victims With Gait Impairment
Published in IEEE access (2018)“…Improving health is an important driving factor of sensor technology applications. To meet the demands of precision medicine for medical rehabilitation and…”
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Body Sensor Network-Based Gait Quality Assessment for Clinical Decision-Support via Multi-Sensor Fusion
Published in IEEE access (2019)“…This paper presents a versatile multi-sensor fusion method and decision-making algorithm for ambulatory and continuous patient monitoring purposes via a body…”
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Unravelling the enigma of the human microbiome: Evolution and selection of sequencing technologies
Published in Microbial biotechnology (01-01-2024)“…The human microbiome plays a crucial role in maintaining health, with advances in high‐throughput sequencing technology and reduced sequencing costs triggering…”
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Swimming Motion Analysis and Posture Recognition Based on Wearable Inertial Sensors
Published in 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) (01-10-2019)“…Swimming is a worldwide popular sports whose performance is highly correlated to the posture.To analyze and recognize the posture in swimming, a monitoring…”
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