GAIT_Sense_Platform is an open-source hardware development platform designed for gait analysis and human motion monitoring using wearable sensors.
The project was developed within an academic thesis with the objective of providing a robust, extensible, and reproducible hardware base for:
- 🎓 students
- 🔬 researchers
- 🛠 developers working on gait analysis and motion sensing
Rather than being tied to a single algorithm or clinical workflow, GAIT_Sense_Platform is conceived as a general-purpose research platform, suitable for experimenting with different gait analysis techniques and data-processing pipelines.
Gait analysis plays a key role in many domains:
- 🏃 Biomechanics & sports science
- 🏥 Rehabilitation & clinical monitoring
- 📡 Wearable and pervasive sensing
However, many existing solutions are:
- ❌ Closed-source
- ❌ Expensive
- ❌ Hard to customize
- ❌ Strongly tied to proprietary software
GAIT_Sense_Platform was born to overcome these limitations by offering:
- ✅ Fully open-source hardware
- ✅ Direct access to raw sensor data
- ✅ Modular and extensible design
- ✅ Freedom to experiment, modify, and reuse
The platform was designed following a few key principles:
All hardware and software components are intended to be:
- inspectable
- modifiable
- reproducible
The board can be adapted to different scenarios by:
- enabling or disabling sensors
- adding external peripherals
- modifying firmware and data pipelines
GAIT_Sense_Platform is well suited for:
- university courses
- laboratory activities
- thesis projects
- research prototyping
- High-performance IMU-based motion sensing
- Designed to capture gait-related quantities such as:
- linear acceleration
- angular velocity
- Suitable for detecting gait events:
- stance
- swing
- heel strike
- toe-off
Support for additional sensors to enrich gait analysis:
- 🧲 Magnetometer (orientation estimation)
- 🌍 GNSS / GPS (outdoor experiments & spatial context)
- 🔌 Analog inputs for external transducers
(e.g. electrodes, force-related sensors)
GAIT_Sense_Platform can be used for:
- 🚶 Gait event detection
- ⏱ Temporal gait analysis
- 📐 Algorithm development and validation
- 📍 Sensor placement studies
- 🎓 Educational labs and coursework
- 🧩 Rapid prototyping of wearable systems
One of the main goals of GAIT_Sense_Platform is reusability.
Anyone can:
- 🛠 manufacture the PCB
- ✏️ modify the hardware design
- 🔄 remove or replace sensors
- 🔋 adapt the system to different batteries or enclosures
This project is meant to be a starting point, not a closed or final solution.
Developed by: Francesco Simonetti
Supervisor: Gianluca Barile Co-supervisor: Riccardo Olivieri
This project is released as open-source.
Please refer to the LICENSE file for details.
This platform is intended for research and educational purposes only.
It is not certified as a medical device.