Smart Insole-Based Indoor Localization System for Internet of Things Applications

A survey of indoor positioning systems for wireless personal networks

Gu, Y., Lo, A., & Niemegeers, I. G. M. M. (2009) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2009.090103 · Cited by 1,542 · see citing works

Pedestrian Tracking with Shoe-Mounted Inertial Sensors

Foxlin, E. M. (2005) · IEEE Computer Graphics and Applications · doi:10.1109/mcg.2005.140 · Cited by 1,409 · see citing works

Smart Homes that Monitor Breathing and Heart Rate

Adib, F., Mao, H., Kabelac, Z., Katabi, D., & Miller, R. C. (2015) · Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems · doi:10.1145/2702123.2702200 · Cited by 916 · see citing works

Ranging in a dense multipath environment using an UWB radio link

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An introduction to inertial navigation

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Zero-Velocity Detection—An Algorithm Evaluation

Skog, I., Händel, P., Nilsson, J.-O., & Rantakokko, J. (2010) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2010.2060723 · Cited by 666 · see citing works

A comparison of Pedestrian Dead-Reckoning algorithms using a low-cost MEMS IMU

Jiménez, A. R., Seco, F. A., Prieto, C., & Guevara, J. (2009) · IEEE International Symposium on Intelligent Signal Processing, · doi:10.1109/wisp.2009.5286542 · Cited by 580 · see citing works

The Effect of Age on Variability in Gait

Gabell, A., & Nayak, U. S. (1984) · Journal of Gerontology · doi:10.1093/geronj/39.6.662 · Cited by 574 · see citing works

Accurate Pedestrian Indoor Navigation by Tightly Coupling Foot-Mounted IMU and RFID Measurements

Jiménez, A. R., Seco, F. A., Prieto, J. C., & Rosas, J. I. G. (2011) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2011.2159317 · Cited by 447 · see citing works

Radar system analysis and modeling

Barton, D. K. (2005) · IEEE Aerospace and Electronic Systems Magazine · doi:10.1109/maes.2005.1423386 · Cited by 424 · see citing works

Survey of optical indoor positioning systems

Mautz, R., & Tilch, S. (2011) · International Conference on Indoor Positioning and Indoor Navigation · doi:10.1109/ipin.2011.6071925 · Cited by 292 · see citing works

Contactless Respiration Monitoring Via Off-the-Shelf WiFi Devices

Liu, X., Cao, J., Tang, S., Wen, J., & Guo, P. (2015) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2015.2504935 · Cited by 272 · see citing works

Non-GPS Navigation for Security Personnel and First Responders

Ojeda, L., & Borenstein, J. (2007) · Journal of Navigation · doi:10.1017/s0373463307004286 · Cited by 268 · see citing works

Evaluation of zero-velocity detectors for foot-mounted inertial navigation systems

Skog, I., Nilsson, J.-O., & Handel, P. (2010) · 2010 International Conference on Indoor Positioning and Indoor Navigation · doi:10.1109/ipin.2010.5646936 · Cited by 213 · see citing works

Personal Dead-reckoning System for GPS-denied Environments

Ojeda, L., & Borenstein, J. (2007) · doi:10.1109/ssrr.2007.4381271 · Cited by 189 · see citing works

FootPath: Accurate map-based indoor navigation using smartphones

Link, J. Á. B., Smith, P., Viol, N., & Wehrle, K. (2011) · International Conference on Indoor Positioning and Indoor Navigation · doi:10.1109/ipin.2011.6071934 · Cited by 183 · see citing works

Indoor positioning using smartphone camera

Werner, M., Kessel, M., & Marouane, C. (2011) · International Conference on Indoor Positioning and Indoor Navigation · doi:10.1109/ipin.2011.6071954 · Cited by 176 · see citing works

Self-contained indoor positioning on off-the-shelf mobile devices

Gusenbauer, D., Isert, C., & Krösche, J. (2010) · International Conference on Indoor Positioning and Indoor Navigation · doi:10.1109/ipin.2010.5646681 · Cited by 172 · see citing works

Basic gait and symmetry measures for primary school-aged children and young adults whilst walking barefoot and with shoes

Lythgo, N., Wilson, C. J., & Galea, M. P. (2009) · Gait & Posture · doi:10.1016/j.gaitpost.2009.07.119 · Cited by 169 · see citing works

Personal Navigation via High-Resolution Gait-Corrected Inertial Measurement Units

Bebek, Ö., Suster, M. A., Rajgopal, S., Fu, M. J., Huang, X., Çavuşoğlu, M. C., Young, D. J., Mehregany, M., van den Bogert, A. J., & Mastrangelo, C. H. (2010) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2010.2046595 · Cited by 160 · see citing works

Tutorial: Implementing a Pedestrian Tracker Using Inertial Sensors

Fischer, C., Sukumar, P. T., & Hazas, M. (2012) · IEEE Pervasive Computing · doi:10.1109/mprv.2012.16 · Cited by 149 · see citing works

STPP: Spatial-Temporal Phase Profiling-Based Method for Relative RFID Tag Localization

Shangguan, L., Yang, Z., Liu, A. X., Zhou, Z., & Liu, Y. (2016) · IEEE/ACM Transactions on Networking · doi:10.1109/tnet.2016.2590996 · Cited by 141 · see citing works

Activity Sequence-Based Indoor Pedestrian Localization Using Smartphones

Zhou, B., Li, Q., Mao, Q., Tu, W., & Zhang, X. (2014) · IEEE Transactions on Human-Machine Systems · doi:10.1109/thms.2014.2368092 · Cited by 140 · see citing works

Indoor location identification technologies for real-time IoT-based applications: An inclusive survey

Oguntala, G., Abd‐Alhameed, R. A., Jones, S. M., Noras, J., Patwary, M., & Rodrı́guez, J. (2018) · Computer Science Review · doi:10.1016/j.cosrev.2018.09.001 · Cited by 134 · see citing works

Step Detection for ZUPT-Aided Inertial Pedestrian Navigation System Using Foot-Mounted Permanent Magnet

Norrdine, A., Kasmi, Z., & Blankenbach, J. (2016) · IEEE Sensors Journal · doi:10.1109/jsen.2016.2585599 · Cited by 116 · see citing works

Infrared Sensor System for Mobile-Robot Positioning in Intelligent Spaces

Martín-Gorostiza, E., Galilea, J. L. L., Meca, F. J. M., Salido-Monzú, D., Espinosa, F., & Puerto, L. P. (2011) · Sensors · doi:10.3390/s110505416 · Cited by 105 · see citing works

Indoor tracking for mission critical scenarios: A survey

Fuchs, C., Aschenbruck, N., Martini, P., & Wieneke, M. (2010) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2010.07.001 · Cited by 100 · see citing works

Cooperative Sensing and Wearable Computing for Sequential Hand Gesture Recognition

Zhang, X., Yang, Z., Chen, T., Chen, D., & Huang, M.-C. (2019) · IEEE Sensors Journal · doi:10.1109/jsen.2019.2904595 · Cited by 91 · see citing works

Indoor localization using controlled ambient sounds

Rishabh, I., Kimber, D., & Adcock, J. E. (2012) · International Conference on Indoor Positioning and Indoor Navigation · doi:10.1109/ipin.2012.6418905 · Cited by 81 · see citing works

Location-Based Services and Geo-Information Engineering

Brimicombe, A. J., & Li, C. (2009) · Medical Entomology and Zoology · Cited by 79 · see citing works

Customizable Pressure Sensor Array: Design and Evaluation

Chen, D., Cai, Y. M., & Huang, M.-C. (2018) · IEEE Sensors Journal · doi:10.1109/jsen.2018.2832129 · Cited by 71 · see citing works

Pedestrian Simultaneous Localization and Mapping in Multistory Buildings Using Inertial Sensors

Puyol, M. G., Bobkov, D., Robertson, P., & Jost, T. (2014) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2014.2303115 · Cited by 60 · see citing works

On Calibrating the Sensor Errors of a PDR-Based Indoor Localization System

Lan, K.-C., & Shih, W.-Y. (2013) · Sensors · doi:10.3390/s130404781 · Cited by 59 · see citing works

Using smart-phones and floor plans for indoor location tracking

Lan, K.-C., & Shih, W.-Y. (2014) · IEEE Transactions on Human-Machine Systems · doi:10.1109/thms.2013.2296875 · Cited by 59 · see citing works

Pedestrian indoor navigation by aiding a foot-mounted IMU with RFID Signal Strength measurements

Jiménez, A. R., Granja, F. S., Honorato, J. C. P., & Rosas, J. I. G. (2010) · International Conference on Indoor Positioning and Indoor Navigation · doi:10.1109/ipin.2010.5646885 · Cited by 54 · see citing works

Assessment of Foot Kinematics During Steady State Running Using a Foot-mounted IMU

Bailey, G. P., & Harle, R. K. (2014) · Procedia Engineering · doi:10.1016/j.proeng.2014.06.009 · Cited by 53 · see citing works

Foot-Mounted Inertial Navigation and Cooperative Sensor Fusion for Indoor Positioning

Strömbäck, P., Rantakokko, J., Wirkander, S.-L., Alexandersson, M., Fors, K., Skog, I., & Händel, P. (2010) · Cited by 47 · see citing works

WiBall: A Time-Reversal Focusing Ball Method for Decimeter-Accuracy Indoor Tracking

Zhang, F., Chen, C., Wang, B., Lai, H.-Q., Han, Y., & Liu, K. J. R. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2854825 · Cited by 45 · see citing works

A pedestrian dead-reckoning system that considers the heel-strike and toe-off phases when using a foot-mounted IMU

Ju, H., Lee, M. S., Park, S. Y., Song, J. W., & Park, C. G. (2015) · Measurement Science and Technology · doi:10.1088/0957-0233/27/1/015702 · Cited by 40 · see citing works

A Novel Map-Based Dead-Reckoning Algorithm for Indoor Localization

Bao, H., & Wong, W. (2014) · Journal of Sensor and Actuator Networks · doi:10.3390/jsan3010044 · Cited by 37 · see citing works

High accuracy UWB localization in dense indoor environments

Kuhn, M., Zhang, C., Merkl, B., Yang, D., Wang, Y., Mahfouz, M. R., & Fathy, A. E. (2008) · IEEE International Conference on Ultra-Wideband (ICUWB) · doi:10.1109/icuwb.2008.4653368 · Cited by 36 · see citing works

A study on indoor pedestrian localization algorithms with foot-mounted sensors

Romanovas, M., Goridko, V., Al-Jawad, A., Schwaab, M., Traechtler, M., Klingbeil, L., & Manoli, Y. (2012) · International Conference on Indoor Positioning and Indoor Navigation · doi:10.1109/ipin.2012.6418886 · Cited by 35 · see citing works

Localization using infrared beacons

Brassart, É., Pégard, C., & Mouaddib, M. (2000) · Robotica · doi:10.1017/s0263574799001927 · Cited by 33 · see citing works

Bumping: A Bump-Aided Inertial Navigation Method for Indoor Vehicles Using Smartphones

Tan, G., Lu, M., Jiang, F., Chen, K., Huang, X., & Wu, J. (2013) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2013.194 · Cited by 33 · see citing works

An Optimal Enhanced Kalman Filter for a ZUPT-Aided Pedestrian Positioning Coupling Model

Fan, Q., Zhang, H., Sun, Y., Zhu, Y., Zhuang, X., Jia, J., & Zhang, P. (2018) · Sensors · doi:10.3390/s18051404 · Cited by 33 · see citing works

High-precision and robust indoor localization based on foot-mounted inertial sensors

Ruppelt, J. P., Kronenwett, N., Scholz, G., & Trommer, G. F. (2016) · IEEE/ION Position Location and Navigation Symposium · doi:10.1109/plans.2016.7479684 · Cited by 26 · see citing works

Risk factors identification and visualization for work-related musculoskeletal disorders with wearable and connected gait analytics system and kinect skeleton models

Chen, D., Cai, Y. M., Cui, J., Chen, J., Jiang, H., & Huang, M.-C. (2018) · Smart Health · doi:10.1016/j.smhl.2018.05.003 · Cited by 26 · see citing works

Human Locomotion: The Conservative Management of Gait Related Disorders

Michaud, T. C. (2011) · Cited by 17 · see citing works

Pedestrian Indoor Localization Using Foot Mounted Inertial Sensors in Combination with a Magnetometer, a Barometer and RFID

Romanovas, M., Goridko, V., Klingbeil, L., Bourouah, M., Al-Jawad, A., Traechtler, M., & Manoli, Y. (2013) · Lecture notes in geoinformation and cartography · doi:10.1007/978-3-642-34203-5_9 · Cited by 15 · see citing works

Risk Factors Identification for Work-Related Musculoskeletal Disorders with Wearable and Connected Gait Analytics System

Chen, D., Chen, J., Jiang, H., & Huang, M.-C. (2017) · IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies · doi:10.1109/chase.2017.116 · Cited by 12 · see citing works

Performance Analysis of Magnetic Indoor Local Positioning System

Wroble, K. (2015) · Cited by 7 · see citing works

Approaching on-line estimation of swimming instantaneous velocity using a wearable IMU

Dadashi, F., Millet, G. P., & Aminian, K. (2014) · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · Cited by 3 · see citing works

Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey

Ali, M., Naeem, F., Tariq, M., & Kaddoum, G. (2023) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2022.3181823 · Cited by 366 · see citing works

Deep-Learning-Based Pedestrian Inertial Navigation: Methods, Data Set, and On-Device Inference

Chen, C., Zhao, P., Lu, C. X., Wang, W., Markham, A., & Trigoni, N. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.2966773 · Cited by 162 · see citing works

Pedestrian Dead Reckoning With Wearable Sensors: A Systematic Review

Hou, X., & Bergmann, J. (2020) · IEEE Sensors Journal · doi:10.1109/jsen.2020.3014955 · Cited by 142 · see citing works

Sensors for internet of medical things: State-of-the-art, security and privacy issues, challenges and future directions

Ray, P. P., Dash, D., & Kumar, N. (2020) · Computer Communications · doi:10.1016/j.comcom.2020.05.029 · Cited by 117 · see citing works

Wearable Gait Recognition Systems Based on MEMS Pressure and Inertial Sensors: A Review

Li, W., Lu, W., Sha, X., Xing, H., Lou, J., Sun, H., & Zhao, Y. (2021) · IEEE Sensors Journal · doi:10.1109/jsen.2021.3131582 · Cited by 87 · see citing works

Bring Gait Lab to Everyday Life: Gait Analysis in Terms of Activities of Daily Living

Chen, D., Cai, Y. M., Qian, X., Ansari, R., Xu, W., Chu, K., & Huang, M.-C. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2954387 · Cited by 85 · see citing works

Smart insoles review (2008-2021): Applications, potentials, and future

Almuteb, I., Hua, R., & Wang, Y. (2022) · Smart Health · doi:10.1016/j.smhl.2022.100301 · Cited by 69 · see citing works

Threshold-Free Phase Segmentation and Zero Velocity Detection for Gait Analysis Using Foot-Mounted Inertial Sensors

Shi, X., Wang, Z., Zhao, H., Qiu, S., Liu, R., Lin, F., & Tang, K. W. (2022) · IEEE Transactions on Human-Machine Systems · doi:10.1109/thms.2022.3228515 · Cited by 65 · see citing works

Velostat Sensor Array for Object Recognition

Yuan, L., Qu, H., & Li, J. (2021) · IEEE Sensors Journal · doi:10.1109/jsen.2021.3132793 · Cited by 48 · see citing works

Personalized Stride-Length Estimation Based on Active Online Learning

Wang, Q., Luo, H., Ye, L., Men, A., Zhao, F., Huang, Y., & Ou, C. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.2971318 · Cited by 48 · see citing works

Spatial-temporal constrained particle filter for cooperative target tracking

Xu, C., Wang, X., Duan, S., & Wan, J. (2020) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2020.102913 · Cited by 41 · see citing works

Ubiquitous Fall Hazard Identification With Smart Insole

Chen, D., Asaeikheybari, G., Chen, H., Xu, W., & Huang, M.-C. (2020) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2020.3046701 · Cited by 36 · see citing works

A survey of Internet of medical things: technology, application and future directions

He, P., Huang, D., Wu, D., He, H., Wei, Y., Cui, Y., Wang, R., & Peng, L. (2024) · Digital Communications and Networks · doi:10.1016/j.dcan.2024.11.013 · Cited by 37 · see citing works

Textile-film sensors for a comfortable intelligent pressure-sensing insole

He, Y., Lin, M., Wang, X., Liu, K., Liu, H., He, T., & Zhou, P. (2021) · Measurement · doi:10.1016/j.measurement.2021.109943 · Cited by 23 · see citing works

Precise step counting algorithm for pedestrians using ultra-low-cost foot-mounted accelerometer

Bi, J., Wang, J., Yu, B., Yao, G., Wang, Y., Cao, H., Huang, L. H., & Xing, H. (2025) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2025.110619 · Cited by 22 · see citing works

Floor Map-Aware Particle Filtering Based Indoor Navigation System

Junoh, S. A., Subedi, S., & Pyun, J.-Y. (2021) · IEEE Access · doi:10.1109/access.2021.3102992 · Cited by 21 · see citing works

Mode-Independent Stride Length Estimation With IMUs in Smartphones

Bo, F., Li, J., & Wang, W. (2022) · IEEE Sensors Journal · doi:10.1109/jsen.2022.3148313 · Cited by 19 · see citing works

Smart Cushion-Based Activity Recognition: Prompting Users to Maintain a Healthy Seated Posture

Ma, C., Li, W., Gravina, R., Du, J., Li, Q., & Fortino, G. (2020) · IEEE Systems Man and Cybernetics Magazine · doi:10.1109/msmc.2019.2962226 · Cited by 19 · see citing works

Designing deep reinforcement learning systems for musculoskeletal modeling and locomotion analysis using wearable sensor feedback

Zheng, J., Cao, H., Chen, D., Ansari, R., Chu, K.-C., & Huang, M.-C. (2020) · IEEE Sensors Journal · doi:10.1109/jsen.2020.2986768 · Cited by 17 · see citing works

Smart IoT System for Automatic Detection and Protection from Indoor Hazards: An Experimental Study

Islam, R., Hossain, M. I., Rahman, M. S., Kabir, S., Sohan, M. S. R., & Shufian, A. (2022) · IEEE Region Humanitarian Technology Conference · doi:10.1109/r10-htc54060.2022.9929677 · Cited by 17 · see citing works

A survey of step length estimation models based on inertial sensors for indoor navigation systems

Soni, R., & Trapasiya, S. (2021) · International Journal of Communication Systems · doi:10.1002/dac.5053 · Cited by 14 · see citing works

Wearable-Gait-Analysis-Based Activity Recognition: A Review

Ansah, S., & Chen, D. (2022) · International Journal on Smart Sensing and Intelligent Systems · doi:10.2478/ijssis-2022-0021 · Cited by 12 · see citing works

Autonomous Pedestrian Altitude Estimation Inside a Multi-Story Building Assisted by Motion Recognition

Xia, M. Y., & Shi, C. (2020) · IEEE Access · doi:10.1109/access.2020.3000313 · Cited by 10 · see citing works

Smart Insole Based Shuffling Detection System for Improved Gait Analysis in Parkinson’s Disease

Ansah, S., Olugbon, F., Arthanat, S., LaRoche, D. P., & Chen, D. (2023) · Wearable and Implantable Body Sensor Networks · doi:10.1109/bsn58485.2023.10331076 · Cited by 9 · see citing works

Wearable gait analysis of Cervical Spondylotic Myelopathy patients by fusing bipedal inertial information

Shi, X., Wang, Z., Qiu, S., Lin, F., Liu, R., Tang, K. W., Hou, P., Chu, Q., & Chen, Y. (2025) · Information Fusion · doi:10.1016/j.inffus.2025.103115 · Cited by 9 · see citing works

Real-Time Pedestrian Tracking Terminal Based on Adaptive Zero Velocity Update

Wei, R., Xu, H., Yang, M., Yu, X., Xiao, Z., & Yan, B. (2021) · Sensors · doi:10.3390/s21113808 · Cited by 7 · see citing works

Maximum power point tracking for a multi-layered piezoelectric heel charger with a levered mechanism toward impact-based energy harvesting

Hua, R., Marin-Quiros, S., Mohan, H. K., & Wang, Y. (2022) · Review of Scientific Instruments · doi:10.1063/5.0091254 · Cited by 7 · see citing works

The Extended Kalman Filter With Reduced Computation Time for Pedestrian Dead Reckoning

Yamagishi, S., & Jing, L. (2023) · IEEE Sensors Letters · doi:10.1109/lsens.2023.3331513 · Cited by 7 · see citing works

Zero Velocity Detection for Pedestrian Inertial Navigation Based on Spatiotemporal Feature Fusion

Wang, X., Feng, K., Li, J., Guo, X., Han, H., & Cao, S. (2024) · IEEE Sensors Journal · doi:10.1109/jsen.2024.3491161 · Cited by 4 · see citing works

Characterisation and Quantification of Crosstalk on a Velostat-Based Flexible Pressure Sensing Matrix

Lakshmanan, L., Gupta, M. D., Fatema, A., & Hussain, A. M. (2023) · IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS) · doi:10.1109/fleps57599.2023.10220401 · Cited by 4 · see citing works

A Cost Effective Smart Insole System for Real Time Gait Analysis

Antoniou, N., Hadjiantonis, A. M., Kyriacou, C., & Konstantinidis, A. (2023) · Proceedings of IEEE Sensors/Proceedings of IEEE Sensors ... · doi:10.1109/sensors56945.2023.10325292 · Cited by 4 · see citing works

A Feasible Model Training for LSTM-Based Dual Foot-Mounted Pedestrian INS

Wu, C.-J., Kuo, C., Lin, Y., & Liu, W. (2021) · IEEE Sensors Journal · doi:10.1109/jsen.2021.3070534 · Cited by 4 · see citing works

Stride Length Estimation with Motion Data from the Contralateral Foot

Ansah, S., & Chen, D. (2025) · IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies · doi:10.1145/3721201.3724418 · Cited by 3 · see citing works

Joint Distribution and Route Optimization of 5G Networked Cold Chain Logistics for Fresh Agricultural Products

(2023) · Academic Journal of Agricultural Sciences · doi:10.38007/ajas.2023.040104 · Cited by 3 · see citing works

Psychological and physiological computing based on multi-dimensional foot information

Li, S., Yao, H., Peng, R., Ma, Y., Zhang, B., Zhao, Z., Zhang, J., Chen, S., Wu, S., & Shu, L. (2025) · Artificial Intelligence Review · doi:10.1007/s10462-024-11087-5 · Cited by 4 · see citing works

FoRM: Foot-driven Reconstruction of Human Motion Using Dual-Modal Plantar Pressure and Inertial Sensing

Ying, Q., Cao, Z., Wu, Z., Deng, W., Zhong, Y., Diao, Y., & Cai, X. (2025) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3749551 · Cited by 2 · see citing works

The Unscented Kalman Filter With Reduced Computation Time for Estimating the Attitude of the Attitude and Heading Reference System

Yamagishi, S., & Jing, L. (2024) · IEEE Journal of Indoor and Seamless Positioning and Navigation · doi:10.1109/jispin.2024.3509801 · Cited by 2 · see citing works

MKC-LSSVM: A Robust Motion Classification for ZUPT of Foot-Mounted Inertial Navigation

Wang, G., Zhou, D., Yang, C., & Ma, L. (2025) · IEEE Sensors Journal · doi:10.1109/jsen.2025.3554016 · Cited by 2 · see citing works

The Potential of Wrist-worn Barometer for Measuring Load Vertical Location in Manual Material Lifting Tasks: A Pilot Study

Ghoreishi, N., Olugbon, F., LaCourse, J. R., Arthanat, S., LaRoche, D. P., & Chen, D. (2023) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas58349.2023.10388547 · Cited by 2 · see citing works

Inertial Sensors Integrated with Clothing to Localize People Inside Buildings

Kawecki, J., Oleksy, P., & Januszkiewicz, Ł. (2020) · International Journal of Electronics and Telecommunications · doi:10.24425/ijet.2019.130265 · Cited by 1 · see citing works

Novel Indoor Sensor/Access-Point Placement for Full Line-of-Sight (LoS) Coverage

Gadiraju, V. M., Tsai, H.-Y., Neupane, P., Wu, H., & Huang, S. C.-H. (2025) · IEEE Sensors Journal · doi:10.1109/jsen.2025.3535661 · Cited by 1 · see citing works

Internet of Things Technologies for Occupational Health and Safety: A Review

Zikas, S., Panagiotakopoulos, T., & Kiouvrekis, Y. (2026) · Internet of Things · doi:10.1016/j.iot.2026.101886 · Cited by 1 · see citing works

Auto-Calibrating Foot Vertical Trajectory With Known Velocity and Displacement Estimated by Smart Insoles

Ansah, S., & Chen, D. (2026) · IEEE Access · doi:10.1109/access.2026.3661925 · Cited by 1 · see citing works

Human Bipedal Locomotion-Based Indoor Location Tracking Using Fiber-Optic Sensors

Guan, Q., Chen, T., Ding, L., Zhong, S., & Wang, G. (2024) · IEEE Sensors Journal · doi:10.1109/jsen.2024.3370100 · Cited by 1 · see citing works

Time-Reversal-Based Correction Algorithms for $\omega$-Free Trajectory Reconstruction Method

Liu, X., Zhou, Q., Cheng, C., & Wang, X. (2024) · IEEE Signal Processing Letters · doi:10.1109/lsp.2024.3363633

Detecting Feet's Bending Patterns With Smart Insoles

Zhong, Y., Ying, Q., & Cai, X. (2024) · IEEE International Conference on Pattern Recognition and Machine Learning (PRML) · doi:10.1109/prml62565.2024.10779792

Comprehensive Analysis of Motion Performance Through Integrated Lower Limb Kinematic and Kinetic Parameters

Yu, X., Chen, M., Zhang, G., & Li, W. J. (2024) · IEEE International Conference on Robotics and Biomimetics (ROBIO) · doi:10.1109/robio64047.2024.10907544

Personalization of optimizing athlete training plans using gated recurrent unit (GRU)

Zhang, S., & Toldoya, J. A. D. (2025) · Journal of Computational Methods in Sciences and Engineering · doi:10.1177/14727978251358609

Orthotic Footwear Designed for Individuals with Clubfoot and Ankle Misalignment

Sharmila, P., Jegatha, R., Ilakkiya, J., Archana, B., Swathy, S., & Dharshini, K. (2026) · International Conference on Emerging Trends and Innovations in ICT (ICEI) · doi:10.1109/icei65890.2026.11447653

An Inertial and Array-Pressure Multimodal Fusion Sensor System for Robust Zero-Velocity Detection in Pedestrian Navigation

Jia, H., Yu, B., Li, H., Pan, S., & Du, D. (2026) · IEEE Sensors Journal · doi:10.1109/jsen.2026.3682561

Evaluation of the Importance of Stopping Elderly Accidents, Deaths, and Injuries (STEADI)–Based Factors in Wearable Fall Risk Assessment: Secondary Data Analysis

Ghoreishi, N., Ansah, S., Lu, J., Lu, W., Moon, S., Delgado, F., & Chen, D. (2026) · JMIR mhealth and uhealth · doi:10.2196/93877

Adaptive Threshold-Based ZUPT for Single IMU-Enabled Wearable Pedestrian Localization

Li, H., Liu, H., Li, Z., Li, C., Meng, Z., Gao, N., & Zhang, Z. (2023) · IEEE Internet of Things Journal · doi:10.1109/jiot.2023.3243296 · Cited by 65 · see citing works

Using smart-phones and floor plans for indoor location tracking

Lan, K.-C., & Shih, W.-Y. (2014) · IEEE Transactions on Human-Machine Systems · doi:10.1109/thms.2013.2296875 · Cited by 59 · see citing works

Indoor localization using inertial sensors and ultrasonic rangefinder

Zhang, R., Hoeflinger, F., Gorgis, O., & Reindl, L. M. (2011) · International Conference on Wireless Communications and Signal Processing (WCSP) · doi:10.1109/wcsp.2011.6096713 · Cited by 14 · see citing works

Wearable indoor localisation approach in Internet of Things

Huang, H., Zhou, J., Li, W., Zhang, J., Zhang, X., & Hou, G. (2016) · IET Networks · doi:10.1049/iet-net.2016.0007 · Cited by 22 · see citing works

Research on Indoor Positioning Technology Based on MEMS IMU

Zhang, T., Chengcheng, W., & Jie, Y. (2017) · Studies in computational intelligence · doi:10.1007/978-3-319-69877-9_16 · Cited by 2 · see citing works