Abstract Human Activity Recognition (HAR) is a process of recognizing human activities
automatically based on streaming data obtained from various sensors, such as, inertial …

Recognizing human activity plays a significant role in the advancements of human-
interaction applications in healthcare, personal fitness, and smart devices. Many papers …

Search and Rescue (SaR) dogs are important assets in the hands of first responders, as
they have the ability to locate the victim even in cases where the vision and or the sound is …

In this work, we bridge the gap between wearable sensor technology and personalized AI
assistants by enabling Large Language Models (LLMs) to understand time-series tasks like …

Continuous human activity recognition from inertial signals is performed by splitting these
temporal signals into time windows and identifying the activity in each window. Defining the …

The last decade has seen exponential growth in the field of deep learning with deep
learning on microcontrollers a new frontier for this research area. This paper presents a case …

Sensor-based human activity recognition and health monitoring are attaining great interest
in the eye of the researcher as it maintained the privacy of an individual. A model based on …

Human activities recognition (HAR) plays a vital role in fields like ambient assisted living and
health monitoring, in which cross-subject recognition is one of the main challenges coming …

Monitoring the behavior of animals (eg, eating habits) can lead to conclusions regarding
animal's welfare. To achieve this, remote monitoring of animal activity with the aid of inertial …

The dusty environments of autonomous excavation can affect the performance of the
sensors onboard the vehicle. Specifically, airborne dust clouds can be perceived as solid …