cal-ucsd / ExtraSensoryAndroid
Mobile Android app for data collection in the wild: sensor measurements and self-reported labels describing the user's behavioral context.
☆27Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for ExtraSensoryAndroid
- A repository for unified analysis of accelerometer-based human activity recognition.☆33Updated last year
- AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors☆27Updated 6 years ago
- Improving Human Activity Recognition through Self-training with Unlabeled Data☆36Updated 3 years ago
- This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardizatio…☆97Updated 5 years ago
- Code repository for experiments on deep architecture for HAR in ubicomp☆23Updated 7 years ago
- Personalized machine learning on the smartphone☆59Updated last year
- Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.☆17Updated last year
- neural style tranfer from one walking/gait cycle to another; ArXiv:1606.03238 & ArXiv:1508.06576☆13Updated 7 years ago
- ☆54Updated 5 years ago
- Replacement AutoEncoder: A Privacy-Preserving Algorithm for Sensory Data Analysis (IoTDI'18)☆18Updated 3 years ago
- Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".☆17Updated 4 years ago
- ☆8Updated 4 years ago
- Code for HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data, IEEE PerCom CoMoRea 2022☆13Updated 2 years ago
- Code for the paper "Attention-Based Deep Learning Framework for Human Activity Recognition with User Adaptation", Buffelli D., Vandin F.,…☆15Updated 2 years ago
- ☆42Updated 7 years ago
- Artificial Neural Networks (ANN), k-Nearest Neighbors, Random Forest classifier and Support Vector Machines (SVM) were trained over a HAR…☆22Updated 6 years ago
- Code for data processing used for the experiment in paper "Deepsense: a unified deep learning framework for time-series mobile sensing da…☆29Updated 7 years ago
- ☆35Updated 7 years ago
- Package for analyzing human motion data (e.g. PA, gait)☆86Updated 3 weeks ago
- DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)☆47Updated 3 years ago
- Human activity recognition, is a challenging time series classification task. It involves predicting the movement of a person based on se…☆71Updated 4 years ago
- Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the…☆96Updated 7 years ago
- STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks☆49Updated 5 years ago
- Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer …☆22Updated 3 years ago
- Multimodal human activity recognition using wrist-worn wearable sensors.☆44Updated 4 years ago
- predicts the human activities based on accelerometer and Gyroscope data of Smart phones☆56Updated 3 years ago
- Android Sensor Data Collector:☆49Updated 7 months ago
- 🏋️ Extract generalizable physiological representations from sensor time-series data with self-supervision (code for CHIL 2021, NeurIPS-W…☆17Updated last year
- Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)☆107Updated 2 weeks ago
- DeepConvLSTM implemented in python 3 and pytorch☆24Updated 3 years ago