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F.A.Qs
Frequently asked questions
SensWear is an open-source, modular, and form-factor-agnostic wearable sensing platform designed for researchers, developers, and innovators. It enables real-time collection of raw physiological and environmental sensor data using interchangeable daughter boards, making it ideal for AI/ML experimentation, digital health research, and rapid prototyping of next-generation wearable systems.
SensWear is built primarily for:
- Academic researchers and universities
- R&D teams and startups
- Digital health and human-sensing innovators
- AI/ML engineers working with physiological data
It is a research-grade platform rather than a closed consumer wearable, giving full access to raw sensor data and firmware.
Most commercial wearables provide only processed data through closed ecosystems. SensWear is fully open and developer-friendly, offering:
- Access to raw sensor streams
- Open hardware and firmware
- Modular sensor architecture
- Customizable form factors (wrist, ring, chest, etc.)
- Easy integration with AI/ML pipelines
This enables full control over data acquisition, processing, and experimentation.
SensWear consists of a core mainboard and modular daughter boards. Current sensor modules include:
- Motion sensing (IMU / BHI360)
- Touch sensing (multi-channel capacitive electrodes)
- Temperature sensing (MAX30208)
- PPG for heart and blood-flow analysis
- Haptic feedback module
- Additional expansion capability for custom sensors
New sensor boards can be easily added to the ecosystem.
Yes. One of SensWear’s core principles is full raw data access. Developers and researchers can:
- Stream raw data via BLE/UART
- Store data locally
- Integrate directly into custom AI/ML pipelines
- Build their own firmware and SDK integrations
There are no locked APIs or restricted data layers.
Yes. SensWear is designed as an open-source hardware and software platform under MIT license. This includes:
- Hardware design files
- Firmware and SDK
- Communication protocols
- Documentation for integration and modification
This approach enables transparency, reproducibility, and collaborative innovation.
Other Questions
General questionsCommon applications include:
- Digital health and physiological monitoring research
- AI/ML model development using wearable data
- Human activity and gesture recognition
- Sleep, stress, and performance studies
- Prototyping new wearable products
- Academic teaching and lab experimentation
SensWear is built to support both rapid prototyping and long-term research deployments.
SensWear uses a compact rechargeable battery system and supports charging through a dedicated pogo-pin cable interface.
This enables:
- Reliable charging for research deployments
- Easy connection without removing the device
- Stable power delivery during development and testing
Basic programming or hardware familiarity is helpful but not mandatory. SensWear provides:
- Ready-to-use firmware
- Documentation and examples
- Simple BLE/UART data streaming
- Developer guides for customization
Advanced users can fully modify firmware and hardware, while beginners can start with standard configurations.
Yes. SensWear is designed for customization. You can:
- Add new sensor daughter boards
- Modify firmware and algorithms
- Adapt the form factor (ring, wristband, chest-band, etc.)
- Integrate with external systems or AI pipelines
For specialized collaborations, research partnerships and custom configurations can also be discussed.