4 papers indexed
Sakorn Mekruksavanich, Anuchit Jitpattanakul
The rapid growth of the elderly population worldwide demands reliable activity recognition technologies to support independent living and continuous health supervision. However, conventional wearable sensor-based human activity recognition (HAR) techniques often fail to capture t…
Sakorn Mekruksavanich, Anuchit Jitpattanakul
Epileptic seizures are a prevalent neurological condition that impacts a considerable portion of the global population. Timely and precise identification can result in as many as 70% of individuals achieving freedom from seizures. To achieve this, there is a pressing need for sma…
Sakorn Mekruksavanich, Wikanda Phaphan, Narit Hnoohom, Anuchit Jitpattanakul
The recognition of human movements is a crucial aspect of AI-related research fields. Although methods using vision and sensors provide more valuable data, they come at the expense of inconvenience to users and social limitations including privacy issues. WiFi-based sensing metho…
Sakorn Mekruksavanich, Anuchit Jitpattanakul
With the rise of artificial intelligence, sensor-based human activity recognition (S-HAR) is increasingly being employed in healthcare monitoring for the elderly, fitness tracking, and patient rehabilitation using smart devices. Inertial sensors have been commonly used for S-HAR,…