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Inertial and Flexible Resistive Sensor Data Fusion for Wearable Breath Recognition

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Physical Activity Recognition Based on a Parallel Approach for an Ensemble of Machine Learning and Deep Learning Classifiers

Abid, M., Khabou, A., Ouakrim, Y., Watel, H., Chemcki, S., Mitiche, A., Benazza‐Benyahia, A., & Mezghani, N. (2021) · Sensors · doi:10.3390/s21144713 · Cited by 12 · see citing works

Survey on biometry for cognitive automotive systems

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Toward a hemorrhagic trauma severity score: fusing five physiological biomarkers

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Representative Safety Assessment of Autonomous Vehicle for Public Transportation

Adedjouma, M., Pedroza, G., & Bannour, B. (2018) · IEEE International Symposium on Real-Time Distributed Computing (ISORC) · doi:10.1109/isorc.2018.00025 · Cited by 11 · see citing works

Clinical Data Fusion and Machine Learning Techniques for Smart Healthcare

Kalamkar, S. P., & Amalanathan, G. M. (2020) · International Conference on Industry 4.0 Technology (I4Tech) · doi:10.1109/i4tech48345.2020.9102706 · Cited by 11 · see citing works

Polymer optical fibres in healthcare: solutions, applications and implications. A perspective

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Intelligent Data Fusion and Multi-Agent Coordination for Target Allocation

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Implementing sensor‐based digital health technologies in clinical trials: Key considerations from the eCOA Consortium

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Comparison of sixteen methods for fusion of data from impulse-radar sensors and depth sensors applied for monitoring of elderly persons

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Validation of two hybrid approaches for clustering age-related groups based on gait kinematics data

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A Framework of Input Devices to Support Designing Composite Wearable Computers

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Machine learning-enabled IoT applications for smart healthcare monitoring systems

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Towards an Accessible, Noninvasive Micronutrient Status Assessment Method: A Comprehensive Review of Existing Techniques

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Contraction Artifacts on Biceps Tissue Bioimpedance Collected using Stepped-Sine Excitations

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Electromyography (EMG) and Hand Gripping Force During Standing and Sitting

Mahadi, M., Nazmi, N., Bani, N. A., Rahman, S. A. S. A., Noor, N. M., & Zainuddin, S. Z. A. J. (2021) · IOP Conference Series Materials Science and Engineering · doi:10.1088/1757-899x/1096/1/012077 · Cited by 8 · see citing works

Multimodal human action recognition and personalized sports health promotion: a deep learning framework integrating wearable sensor fusion

Xi, Y., Huang, T., & Yang, Z. (2026) · Frontiers in Neurorobotics · doi:10.3389/fnbot.2026.1785114 · Cited by 7 · see citing works

Multimodal data fusion techniques in smart healthcare

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Estimation of a physical activity energy expenditure with a patch‐type sensor module using artificial neural network

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K-boyutlu ağaç ve uyarlanabilir yarıçap (KD-AR Stream) tabanlı gerçek zamanlı akan veri kümeleme

Şenol, A., & Karacan, H. (2019) · Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi · doi:10.17341/gazimmfd.467226 · Cited by 7 · see citing works

Introduction

John, A., Cardiff, B., & John, D. (2026) · Springer eBooks · doi:10.1007/978-3-031-96724-5_1

A review on multi-sensor data fusion for wearable health monitoring

John, A., James, A. P., Cardiff, B., & John, D. (2026) · Information Fusion · doi:10.1016/j.inffus.2026.104319 · Cited by 32 · see citing works

Discussions and Conclusions

John, A., Cardiff, B., & John, D. (2026) · Springer eBooks · doi:10.1007/978-3-031-96724-5_8

A Survey of Fusion Frameworks and Algorithms for Physiological Monitoring

John, A., Cardiff, B., & John, D. (2026) · Springer eBooks · doi:10.1007/978-3-031-96724-5_2

Multi-sensor data fusion for ambulatory health monitoring: signal processing and deep learning techniques

John, A. (2022) · Research Repository UCD (University College Dublin) · Cited by 1 · see citing works