Jonathon Fagert

Orcid: 0000-0001-7905-6987

According to our database1, Jonathon Fagert authored at least 22 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Recursive Sparse Representation for Identifying Multiple Concurrent Occupants Using Floor Vibration Sensing.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

Clean Vibes: Hand Washing Monitoring Using Structural Vibration Sensing.
ACM Trans. Comput. Heal., 2022

Towards Fine-Grained Air Quality Sensing in Urban Environments.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

2021
Non-parametric Bayesian Learning for Newcomer Detection using Footstep-Induced Floor Vibration: Poster Abstract.
Proceedings of the IPSN '21: The 20th International Conference on Information Processing in Sensor Networks, 2021

2020
O-MedAL: Online active deep learning for medical image analysis.
WIREs Data Mining Knowl. Discov., 2020

OptiStructures: Fabrication of Room-Scale Interactive Structures with Embedded Fiber Bragg Grating Optical Sensors and Displays.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

MD-Vibe: physics-informed analysis of patient-induced structural vibration data for monitoring gait health in individuals with muscular dystrophy.
Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

A window-based sequence-to-one approach with dynamic voting for nurse care activity recognition using acceleration-based wearable sensor.
Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

2019
Area Occupancy Counting Through Sparse Structural Vibration Sensing.
IEEE Pervasive Comput., 2019

Structures as Sensors: Indirect Sensing for Inferring Users and Environments.
Computer, 2019

Device-free Multiple People Localization through Floor Vibration.
Proceedings of the 1st ACM International Workshop on Device-Free Human Sensing, 2019

Gait health monitoring through footstep-induced floor vibrations: poster abstract.
Proceedings of the 18th International Conference on Information Processing in Sensor Networks, 2019

2018
MedAL: Deep Active Learning Sampling Method for Medical Image Analysis.
CoRR, 2018

Vibration-Based Occupant Activity Level Monitoring System.
Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, SenSys 2018, 2018

Occupant-induced office floor vibration dataset for activity level monitoring.
Proceedings of the First Workshop on Data Acquisition To Analysis, 2018

Seat vibration for heart monitoring in a moving automobile: extended abstract.
Proceedings of the First Workshop on Data Acquisition To Analysis, 2018

MedAL: Accurate and Robust Deep Active Learning for Medical Image Analysis.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Occupant Activity Level Estimation Using Floor Vibration.
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

Human Gait Monitoring Using Footstep-Induced Floor Vibrations Across Different Structures.
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

ILPC: Iterative Learning Using Physical Constraints in Real-World Sensing Data.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
FootprintID: Indoor Pedestrian Identification through Ambient Structural Vibration Sensing.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

SurfaceVibe: vibration-based tap & swipe tracking on ubiquitous surfaces.
Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2017


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