Efficient neural data analysis through tracking of ergonomic, incentivized movements

• Forschungsstelle: INNOSUISSE
• Projektnummer: 18158.1 PFES-ES
• Projekttitel Englisch: Efficient neural data analysis through tracking of ergonomic, incentivized movements

Kurzbeschreibung (Deutsch)

Efficient neural data analysis through tracking of ergonomic, incentivized movements

Kurzbeschreibung (Englisch)

Efficient neural data analysis through tracking of ergonomic, incentivized movements

Abstract (Deutsch)

Many data analysis tasks rely on humans and their unsurpassed visual processing abilities. Today's human-machine (HM) interactions are non-ergonomic and inefficient, hindering high-throughput applications. To significantly increase the HM bandwidth we propose to gamify visual analsyis by using an eyetracker and an ergonomic chair equipped with motion sensors. Our system will be used to annotate nerve cells in the quest of understanding brain wiring principles with 3D maps.

Abstract (Englisch)

Many data analysis tasks rely on humans and their unsurpassed visual processing abilities. Today's human-machine (HM) interactions are non-ergonomic and inefficient, hindering high-throughput applications. To significantly increase the HM bandwidth we propose to gamify visual analsyis by using an eyetracker and an ergonomic chair equipped with motion sensors. Our system will be used to annotate nerve cells in the quest of understanding brain wiring principles with 3D maps.