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AI Documentation: Using Collage Schedule

Year: 2025

Type: article

Abstract: Gesture-controlled drones represent a significant advancement in human-computer interaction, allowing users to operate drones using simple hand movements without the need for traditional controllers. This technology utilizes computer vision, machine learning, and sensor-based systems to interpret gestures and translate them into drone commands such as takeoff, landing, movement, and hovering. A typical gesture-controlled drone employs a combination of cameras, accelerometers, gyroscopes, and deep learning models to recognize predefined gestures in real-time. Image processing techniques,

Source: INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT

DOI: 10.55041/ijsrem42486

Authors: Umair Sharif khan, Maaz ahmed khan, Sulaik Nazir Patel, Raheen mam

Language: English

Topic: Hand Gesture Recognition Systems

Subfield: Human-Computer Interaction

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4408499607

FWCI:

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