Topic: mobile-sensing Goto Github
Some thing interesting about mobile-sensing
Some thing interesting about mobile-sensing
mobile-sensing,A C# project to simulate and test a multiagent algorithm for finding multiple noisy radiation sources with spatial and communication constraints with an emulated environment. The algorithm tries to detect the source(s) of radiation with some robots in the monitoring fields. Each robot has a sensor mounted to detect the radiation concentration. The robots cooperate and communicate with each other to locate the sources based on the sensors readings using concepts from particle swarm optimization algorithm. You can see the attached paper for more detail... [Multiagent Algorithm for finding Multiple Noisy Radiation.pdf](Home_Multiagent Algorithm for finding Multiple Noisy Radiation.pdf)
User: betamoo
mobile-sensing,Mobile Android app for data collection in the wild: sensor measurements and self-reported labels describing the user's behavioral context.
Organization: cal-ucsd
Home Page: http://extrasensory.ucsd.edu/ExtraSensoryApp
mobile-sensing,Crowdsensing urban data in Africa
Organization: ceat-epfl
Home Page: https://sensecity-africa.io
mobile-sensing,A lite BERT-like representation model for IMU sensor data
User: dapowan
mobile-sensing,
User: flo890
Home Page: https://www.medien.ifi.lmu.de/language-logger/
mobile-sensing,Contrastive Learning (SimCLR) for Human Activity Recognition
User: iantangc
mobile-sensing,Improving Human Activity Recognition through Self-training with Unlabeled Data
User: iantangc
mobile-sensing,
User: kktripathi
mobile-sensing,
User: kmr0877
mobile-sensing,Mirror of the mpathsenser package from Gitlab.
User: koenniem
Home Page: https://gitlab.kuleuven.be/ppw-okpiv/researchers/u0134047/mpathsenser
mobile-sensing,Our study focused on using the Big Five personality inventory to predict traits from students' smartphone sensor data collected over 2 months under the Horizon Europe project. Through correlation analyses and machine learning with cross-validation, we showed that predictions are reliable and accurate enough for practical use.
User: kswaviman
mobile-sensing,MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope) (PMC Journal) (IoTDI'19)
User: mmalekzadeh
Home Page: https://www.sciencedirect.com/science/article/pii/S1574119220300201
mobile-sensing,A Cross-Platform System for Mobile Sensing
Organization: predictive-technology-laboratory
Home Page: http://predictive-technology-laboratory.github.io/sensus
mobile-sensing,A collection of datasets, papers, and resources for IMU sensing.
User: rh20624
mobile-sensing,An Android framework that provides Mobile Sensing to your apps.
Organization: sensingkit
Home Page: https://www.sensingkit.org
mobile-sensing,An iOS framework that provides Mobile Sensing to your apps.
Organization: sensingkit
Home Page: https://www.sensingkit.org
mobile-sensing,λͺ¨λ°μΌ μμ€ν νλ‘κ·Έλλ° (μΌμ±)
User: sogoagain
mobile-sensing,Official implementation of the pupillometry system called PupilSense proposed in the article "PupilSense: Detection of Depressive Episodes Through Pupillary Response in the Wild".
Organization: stevenshci
mobile-sensing,Code for "Blinder: End-to-end Privacy Protection in Sensing Systems via Personalized Federated Learning", ACM ToSN
Organization: sustainable-computing
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