Juneeee98 / Realtime-Fall-Dectection-and-Human-Activity-Recognition-Using-MLPLinks
Realtime Fall Detection and Human Activity Recognition using Multilayer Perceptron Neural Network from gyroscope and accelerometer sensor sent from a ESP-32 Microcontroller
☆11Updated 4 years ago
Alternatives and similar repositories for Realtime-Fall-Dectection-and-Human-Activity-Recognition-Using-MLP
Users that are interested in Realtime-Fall-Dectection-and-Human-Activity-Recognition-Using-MLP are comparing it to the libraries listed below
Sorting:
- Heart Steps 2.0 Application☆10Updated last year
- Detection of Degree of Parkinsonism via the Spiral Test☆12Updated 6 years ago
- Predicting the ten year risk of developing heart disease with machine learning on the frammingham dataset☆13Updated 5 years ago
- Software to automatically compute facial metrics in unilateral facial paralysis☆17Updated 2 years ago
- Analisys of the dataset Heart Failures clinical records from UCI using different rebalancing techiniques and different models☆11Updated 4 years ago
- This repository contains the three-part capstone project made for the DTU Data Science course 02450: Introduction to Machine Learning and…☆10Updated 5 years ago
- wearablecompute is an open source Python package containing over 50 data and domain-driven features that can be computed from wearables a…☆18Updated 4 years ago
- Pre-processing methods for mHealth and wearables data.☆20Updated 2 years ago
- Using Smartphones to Encourage Movement☆21Updated 5 years ago
- ☆18Updated 3 years ago
- code for "Automated and Intelligent Synthesis of Oxygen-Producing Catalysts from Martian Meteorites by Robotic AI-Chemist "☆12Updated 2 years ago
- This research goal is to build binary classifier model which are able to separate fraud transactions from non-fraud transactions.☆14Updated last year
- Analysis of behavior of drivers behind the wheel using sensors available on smartphone☆11Updated 7 years ago
- Train a production grade GPT in less than 400 lines of code. Better than Karpathy's verison and GIGAGPT☆16Updated 3 weeks ago
- A machine learning approach to detection of Parkinson's disease.☆37Updated 7 years ago
- the experiment on EEG classify using CNN-LSTM structure network☆11Updated 8 years ago
- A HIAS connected AI assistant based on GPT-3, capable of providing information based on Leukemia. This project is a proof of concept and …☆8Updated 2 years ago
- Dataset of trash objects for waste classification and detection☆63Updated 2 years ago
- Deep Learning Models for the Early Detection of Parkinson’s Disease using the motor-based symptoms.☆15Updated 3 years ago
- Parkinson disease is associated with movement disorder symptoms, such as tremor, rigidity, bradykinesia, and postural instability. The ma…☆13Updated 5 years ago
- ☆58Updated 5 years ago
- This model uses linear regression to predict how much a user spends every year in an e-commerce website based on the user's characteristi…☆10Updated 2 years ago
- An implementation of the paper Brain2Qwerty that translates brain EEG data into text for reading people's brains. There was no code so we…☆18Updated 6 months ago
- FitBot is an advanced health-centric chatbot powered by LLMs. It seamlessly integrates with the Nutrition endpoint of API Ninjas to provi…☆20Updated 2 years ago
- Mining Minds is a collection of services, tools and techniques working collaboratively to investigate on human’s daily routines to provid…☆56Updated 3 years ago
- Leverages extensive power of multiple Machine Learning algorithms & LLM to provide in-depth answers to medical queries and predicts condi…☆46Updated last year
- A straightforward method to reduce your LLM inference API costs and token usage.☆16Updated 2 months ago
- Using the SWELL dataset from Kaggle, we've built 2 machine learning models to predict whether or not a person is under stress using Heart…☆64Updated 5 years ago
- Hands-On Artificial Intelligence for IoT, published by Packt☆141Updated 2 years ago
- An Open Source Data Science toolkit for Parkinson's Disease☆39Updated last month