Gabriel Landeskog uses technology designed to track how his body moves during training. According to reports, he employs sensors built into skates and sneakers to collect biomechanical data while he skates. The information is processed through an AI-driven movement platform that helps monitor knee status and manage his training workload. The approach is presented as a way to support day-to-day decisions around conditioning and return-to-play planning by providing more continuous feedback on movement patterns rather than relying only on periodic assessments. In this reporting, the focus is on monitoring and workload management, with the goal of understanding stress on the knee and how his biomechanics change over time. The outlets agree on the core elements of the setup: in-skate (and sneaker) sensor use, AI-based processing of the movement data, and application of those insights to knee monitoring and workload management.