<?xml version="1.0"?>
<metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>Current state and future research directions of radar-based human-computer interaction</dc:title><dc:creator>Čopič Pucihar,	Klen	(Avtor)
	</dc:creator><dc:creator>Salami,	Dariush	(Avtor)
	</dc:creator><dc:creator>Attygalle,	Nuwan	(Avtor)
	</dc:creator><dc:subject>radar-based human-computer interaction</dc:subject><dc:subject>future directions</dc:subject><dc:subject>current state</dc:subject><dc:description>This chapter provides an overview of the current state of radar-based Human-Computer Interaction (HCI) and outlines future research directions. While earlier chapters in this book have explored specialised domains, such as through-material sensing, ambient intelligence, surface context awareness, hand air-writing, and on-object gesture detection, this chapter expands this perspective by examining fifty carefully selected publications that address a broad range of design and technical considerations in radar-based HCI. We review key design choices, including gesture set definitions, sensor placements, radar types, frequency ranges, signal representations, and classification algorithms. Building on this foundation, the chapter then presents a forward-looking discussion of research opportunities. Particular emphasis is placed on the need for miniaturised, energy-efficient, and adaptive radar systems capable of functioning reliably in diverse, real-world settings. Additionally, the chapter stresses the importance of developing open, standardised datasets to support reproducibility, improve generalizability, and promote inclusive design.</dc:description><dc:date>2026</dc:date><dc:date>2026-05-19 09:43:40</dc:date><dc:type>Neznano</dc:type><dc:identifier>23053</dc:identifier><dc:identifier>UDK: 004.5</dc:identifier><dc:identifier>ISSN pri članku: 1571-5035</dc:identifier><dc:identifier>OceCobissID: 277017603</dc:identifier><dc:identifier>DOI: 10.1007/978-3-032-04327-6_11</dc:identifier><dc:identifier>COBISS.SI-ID: 278593027</dc:identifier><dc:language>sl</dc:language></metadata>
