Objective
Implement fall detection pipeline in C/C++ code so that embedded fall detection library can be compiled for further integration, support for hardware during data collection
Key results
— Hardware platform discovery
— embedding constraints identification
— models embedding to the existing hardware
— testing and optimization
Challenges & responsibilities
— hardware platform discovery (wearable device)
— develop a fall detection library for wearable device
— cooperate with AI team on
— cooperate with customer embedded & hardware team in order to integrate fall detection library into existing FW
Knowledge
— strong understanding of ARM MCU architecture
— experience with Texas Instruments DSP architecture will be a plus
— knowledge of Python will be a plus
Experience
— 3+ years of experience in C/C++ for embedded application
— 1+ years of experience with wearable devices
— experience with accelerometer sensors will be a plus
— experience in digital signal processing will be a plus
— experience with ML model optimization will be a plus
Terms & conditions
Rate: 30 USD/h
Allocation: 10 hours per week
Start date: March 15, 2022
Duration:
Location: Bali