Hey everyone,
I’m working on a low-power motion tracking project using an LSM6DSL IMU to capture 3D acceleration and gyroscope data. This sensor is interesting because it has an "Always-On" mode, which is supposed to keep motion detection running with minimal power consumption.
I came across this article: LSM6DSL iNEMO Inertial Module – Always-On 3D Accelerometer and 3D Gyroscope, which explains the features and power management modes, but I still have some questions:
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What’s the most efficient way to configure the power modes to maximize battery life while maintaining good motion tracking performance?
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Has anyone used the embedded finite state machine (FSM) or machine learning core (MLC) in this IMU to reduce processing overhead on the MCU?
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Any real-world tips for reducing noise and drift when using this sensor in a wearable or mobile setup?
Looking forward to insights from anyone who has worked with LSM6DSL or similar IMUs!
