Abstract: Real-time human activity recognition (HAR) is crucial for adaptive control in lower limb exoskeletons, yet achieving an optimal balance between accuracy, latency, and sensor complexity ...

With residents this month debating use of facial recognition systems at some Connecticut grocery stores, state lawmakers from both parties plan to look into stopping that technology from being used in ...

This project implements a hybrid deep learning model combining Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks for human activity recognition using sensor data from ...

Abstract: The problem we focused on in this article is sensor-based generalized few-shot activity recognition. In this problem, each of the predefined activity classes (i.e., base classes) has ...