TinZr: A compact wireless ESP32-C3 platform for multi-modal physiological sensor integration and data acquisition
Rattachement africain : us, ie. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
The TinZr is a compact, ESP32C3-based microcontroller that measures 25mm x 25mm. It can act as a wearable controller designed for multimodal physiological signal acquisition and real-time processing in research and prototyping applications. With its default firmware, TinZr operates as a configurable, stand-alone wearable data logger and wireless streaming device, enabling acquisition of inertial and physiological signals during naturalistic human movement. TinZr integrates an onboard inertial measurement unit (3-axis accelerometer and 3-axis gyroscope), battery management circuitry, Wi-Fi and Bluetooth Low Energy (BLE) connectivity, a microSD card reader, and multiple GPIO interfaces supporting digital, analog, I²C, SPI, and UART peripherals. Its small footprint allows it to be embedded into wrist-worn, clip-on, or strap-mounted form factors suitable for extended wear. TinZr is an open-source hardware microcontroller (per OSHWA certification number US002796). All production materials, including printed circuit board (PCB) design files, firmware, Arduino libraries, 3D-printable enclosure models, component lists, and example applications, are openly provided at https://github.com/ludvikalkhoury/TinZr. A dedicated Arduino library, TinZrConnect, is also included to simplify programming, device configuration, and integration with existing wearable and experimental systems. Together, TinZr’s compact design, wireless flexibility, onboard storage, and open-source accessibility make it a versatile solution for wearable sensing, physiological research, and rapid prototyping. The lead designer can be reached at ludvik.alkhoury@gmail.com
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- TinZr: A compact wireless ESP32-C3 platform for multi-modal physiological sensor integration and data acquisition
- Date Crossref
- 01/12/2026
- Éditeur
- Elsevier BV
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
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