Author: IKBAR ADIKA DEVRIDANTO, RUBEN ALBERT H.S. DONGORAN, ARSHAVIN ANANDIKA SYAH, NAVYSA FATAH ONAWA, AIFI QUEENLA ANGKASAMUDRA LINUH, AQILA INSYIRA
Company/Institution: SMA Taruna Nusantara, Indonesia
Country: INDONESIA
e-mail: ghitakalani@gmail.com
Kinectra is an innovative, edge-technology-powered mobile intelligence platform designed for real-time, markerless motion tracking and benchmarked biomechanical analysis. By leveraging cutting-edge on-device computer vision and a specially optimized pose estimation neural network, Kinectra delivers high-precision Range of Motion (ROM) measurements directly through a standard smartphone camera—thereby completely eliminating the need for expensive motion-capture suits, hardware markers, or external physical sensors. Designed with a strict Privacy-First Architecture, 100% of spatiotemporal frame processing is performed locally on the device’s neural processing unit (NPU). This ensures absolute data sovereignty, cloud-independent zero network latency, and continuous real-time execution (response cycle <50 ms). Integrated with dynamic visual feedback overlays and a context-aware biomechanical assistant powered by an LLM, Kinectra democratizes high-precision motion diagnostics through a lightweight, scalable, and intelligent software ecosystem for mobile health and athletic monitoring.