eadc150197c652ad7908 · Quasi-Deterministic Channel Propagation Model for Human Sensing: Gesture Recognition Use Case
Quasi-Deterministic Channel Propagation Model for Human Sensing: Gesture Recognition Use Case
We describe a quasi-determinstic channel propagation model for human gesture recognition reduced from real-time measurements with our context aware channel sounder, considering four human subjects and 20 distinct body motions, for a total of 120,000
{
"title_en": "Quasi-Deterministic Channel Propagation Model for Human Sensing: Gesture Recognition Use Case",
"designation": "",
"series": "",
"status": "",
"date": "2025-07-09",
"date_original": "July 9, 2025",
"url": "https://www.nist.gov/publications/quasi-deterministic-channel-propagation-model-human-sensing-gesture-recognition-use",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Jack Chuang , Raied Caromi , Jelena Senic , Samuel Berweger , Neeraj Varshney , Jian Wang , Anuraag Bodi , Camillo Gentile , Nada Golmie",
"abstract_excerpt_en": "We describe a quasi-determinstic channel propagation model for human gesture recognition reduced from real-time measurements with our context aware channel sounder, considering four human subjects and 20 distinct body motions, for a total of 120,000",
"id": "eadc150197c652ad7908",
"sources": [
"NIST Publications"
],
"source_records": [
{
"title_en": "Quasi-Deterministic Channel Propagation Model for Human Sensing: Gesture Recognition Use Case",
"designation": "",
"series": "",
"status": "",
"date": "2025-07-09",
"date_original": "July 9, 2025",
"url": "https://www.nist.gov/publications/quasi-deterministic-channel-propagation-model-human-sensing-gesture-recognition-use",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Jack Chuang , Raied Caromi , Jelena Senic , Samuel Berweger , Neeraj Varshney , Jian Wang , Anuraag Bodi , Camillo Gentile , Nada Golmie",
"abstract_excerpt_en": "We describe a quasi-determinstic channel propagation model for human gesture recognition reduced from real-time measurements with our context aware channel sounder, considering four human subjects and 20 distinct body motions, for a total of 120,000"
}
],
"translation_state": "none"
}