Wearable sensors for real-time kinematics analysis in sports: A review

M Rana, V Mittal - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
… The review identifies the importance of sensors classification, … 3D motion tracking and
analytics solutions by motion trackingmultiple sources in different environments is a requirement. …

Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions

HF Nweke, YW Teh, G Mujtaba, MA Al-Garadi - Information Fusion, 2019 - Elsevier
… accurate posture identification while other multimodal sensor data … come with rich resources
of sensors such as motion sensor (… , and motion video), environment and ambient sensors (…

mid: Tracking and identifying people with millimeter wave radar

P Zhao, CX Lu, J Wang, C Chen… - … in Sensor Systems  …, 2019 - ieeexplore.ieee.org
… the ID of a tracklet is recognized based on both movement characteristics, ie, gait, and body
… of the systems were calibrated. A state-of-the-art open source tracking algorithm4 is used for …

Data fusion approaches for structural health monitoring and system identification: Past, present, and future

RT Wu, MR Jahanshahi - Structural Health Monitoring, 2020 - journals.sagepub.com
… As a result, how to integrate information from multiple sources and make a more robust …
, and the relative motion between the target and the sensor) are comprehensively studied. …

Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges

S Qiu, H Zhao, N Jiang, Z Wang, L Liu, Y An, H Zhao… - Information …, 2022 - Elsevier
… from multiple data sources (generated by different sensor … to accurately identify the bilateral
arm movements under different … The results show that CFF can achieve fast motion tracking, …

Validity and reliability of wearable sensors for joint angle estimation: A systematic review

I Poitras, F Dupuis, M Bielmann, A Campeau-Lecours… - Sensors, 2019 - mdpi.com
… for a given movement/context, as many studies did not identify or … However, more time and
technical resources must be … Inertial head-tracker sensor fusion by a complementary separate-…

[HTML][HTML] Sensors for daily life: A review

M Javaid, A Haleem, S Rab, RP Singh, R Suman - Sensors International, 2021 - Elsevier
Sensors are devices that detect changes in the source/… rely on these sensors to track their
liquid assets [27,28]. … The centre of our new safety systems is movement sensors. They are …

Wearable sensors for monitoring the internal and external workload of the athlete

DR Seshadri, RT Li, JE Voos, JR Rowbottom… - NPJ digital …, 2019 - nature.com
… A secondary objective of this paper is to identify collaborative research … to track functional
movements, workload, biomechanical and bio-vital markers utilizing wearable sensors to …

Human activity recognition using inertial sensors in a smartphone: An overview

W Sousa Lima, E Souto, K El-Khatib, R Jalali, J Gama - Sensors, 2019 - mdpi.com
… direction of movement of the human body, respectively. These … activities focus on tracking
users’ positions [13,33,34]. … used to combine data from multiple sources. This cross-sectional …

Behavioural biometrics in VR: Identifying people from body motion and relations in virtual reality

K Pfeuffer, MJ Geiger, S Prange, L Mecke… - … in Computing Systems, 2019 - dl.acm.org
… , via hand movements, to eye tracking and full body tracking … body motion as a whole, eg
by using depth sensors such as … systems that identify users form multiple biometric sources [5, …