GitHub topics: smartphone-sensor-data
monocle-h2020/camera_calibration
Spectral and radiometric calibration of consumer cameras (SPECTACLE).
Language: Python - Size: 154 MB - Last synced at: 4 days ago - Pushed at: 6 months ago - Stars: 35 - Forks: 6
naveenkambham/big5-personality-model-machine-learning
Modelling Big Five Personality Inventory using Machine Learning algorithms
Language: Python - Size: 34.2 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 21 - Forks: 5
KSwaviman/Cracking-The-Personality-Code-A-Behavioral-Research
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.
Language: TeX - Size: 3.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
alhomayani/OutFin
The python scripts used to validate the OutFin dataset.
Language: Python - Size: 27.3 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
prasenjit52282/BuStop
BuStop is a ML-based framework to automatically detect different stay-location types for intra-city public bus travels through multi-modal sensing.
Language: Jupyter Notebook - Size: 336 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
saksham1210/Human-Activity-Recognition-ML
In this project, we design a robust activity recognition system based on a smartphone.
Language: Jupyter Notebook - Size: 3.04 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
nikhilraj1997/Searching-Efficient-Models-for-Human-Activity-Recognition
Searching Efficient Models for Human Activity Recognition
Language: Jupyter Notebook - Size: 24.4 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
sameerko95/SenseMe---Monitoring-Mental-Health-Using-Smartphone-Data
This is a project developed as part of the Foundations of Data science course at New York University
Language: Jupyter Notebook - Size: 314 KB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 1
kamathhrishi/Human-Activity-Recognition-with-Smartphone-Data
Algorithm to predict person's activity state based on smartphone data.
Language: Jupyter Notebook - Size: 12.7 KB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 2
