The technology and application of current accelerometer-based devices in physical activity (PA) research allow the capture and storage or transmission of large volumes of raw acceleration signal data.

Maintaining standardised accelerometer data collections in long-term PA surveillance systems is difficult, which may cause discontinuity in time-trend data. The use of accelerometers does not ...

In this paper, we present an accelerometer-based pen-type sensing device and a user-independent hand gesture recognition algorithm. Users can hold the device to perform hand gestures with their ...

Background: Several validated clinical scales measure the severity of essential tremor (ET). Their assessments are subjective and can depend on familiarity and training with scoring systems. Method: ...

Classifying motion using logistic regression and accelerometer data within ESP32-S3. An embedded machine learning project.

A machine learning-powered system for classifying barbell exercises, counting repetitions, and detecting improper form using accelerometer and gyroscope data from wearables. Built using Python, scikit ...