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Predicting continuous ground reaction forces from accelerometers during uphill and downhill running: a recurrent neural network solution

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Deep learning approach to estimate foot pressure distribution in walking with application for a cost-effective insole system

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Towards Improved Inertial Navigation by Reducing Errors Using Deep Learning Methodology

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Machine Learning Strategies for Low-Cost Insole-Based Prediction of Center of Gravity during Gait in Healthy Males

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The Use of Wearable Sensors and Machine Learning Methods to Estimate Biomechanical Characteristics During Standing Posture or Locomotion: A Systematic Review

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AI Prediction of Brain Signals for Human Gait Using BCI Device and FBG Based Sensorial Platform for Plantar Pressure Measurements

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Exploring raw data transformations on inertial sensor data to model user expertise when learning psychomotor skills

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Prediction of Tool Forces in Manual Grinding Using Consumer-Grade Sensors and Machine Learning

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Real-Time Sensor-Embedded Neural Network for Human Activity Recognition

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A Phase-Difference Method for Measuring Torque and Rotational Speed of Shafts Based on CNN-LSTM

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Automatic Body Segment and Side Recognition of an Inertial Measurement Unit Sensor during Gait

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Machine Learning-Based Framework for Pre-Impact Same-Level Fall and Fall-from-Height Detection in Construction Sites Using a Single Wearable Inertial Measurement Unit

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Cost-Efficient and Portable IoMT Solution for Post-Stroke Rehabilitation: Inferring Feet Pressures With Lower Limbs IMUs

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Effectiveness of an Intelligent Foot Orthosis in Lateral Fall Prevention

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Fuzzy Torque Estimation During Knee Extension with LSTM Neural Network and sEMG Signals

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CREATING VIRTUAL FORCE PLATFORMS FOR CUTTING MANEUVERS FROM KINEMATIC DATA BASED ON LSTM NEURAL NETWORKS

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Peer Review #2 of "Predicting continuous ground reaction forces from accelerometers during uphill and downhill running: a recurrent neural network solution (v0.1)"

(2022) · PeerJ · doi:10.7287/peerj.12752v0.1/reviews/2

The development of running in children

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Implementing an AI That Automatically Extracts Standardized Functional Patterns From Wearable Sensor Data

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High-Knee-Flexion Posture Recognition Using Multi-Dimensional Dynamic Time Warping on Inertial Sensor Data

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Combining Fast Orthogonal Search with Deep Learning to Improve Low-Cost IMU Signal Accuracy

Guan, J., Mounier, E., Iqbal, U., & Korenberg, M. J. (2026) · Sensors · doi:10.3390/s26082300

Sagittal and frontal interplane balance control variability is minimized at preferred walking speed in healthy young adults

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Validation of a sensor-based balance assessment tool (FIBOD) compared with the Balance Error Scoring System (BESS)

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Neural network estimation of balance control during locomotion

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Center of Mass Estimation for Impaired Gait Assessment Using Inertial Measurement Units

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Centre of Pressure Estimation during Walking Using Only Inertial-Measurement Units and End-To-End Statistical Modelling

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