Descrizione
Bring urban NPC environments to life with realistic and grounded homeless character animations.
This pack delivers a curated set of homeless NPC animations designed for open-world cities, urban simulation projects, street environments, and narrative-driven scenes. From ground sitting and sleeping poses to begging, searching, leaning, reactions, cold behaviors, and walking animations, every motion is built to feel natural, believable, and production-ready.
Included Animation Set (90 Total)
Homeless Lean Animations
Leaning animations including idle, drinking, talking, start, and stop variations for believable street-side character behavior.
Homeless Lie Ground Animations
Ground lying animations including idle, coughing, and transitions from lying to sitting for realistic street environment scenes.
Homeless Reaction Animations
Reaction animations including annoyed, ignored, relieved, sad, and startled behaviors for more expressive NPC interactions.
Homeless Search Animations
Searching animations including bag search, pocket search, and trash search variations for immersive urban survival behavior.
Homeless Sit Ground Animations
Ground sitting animations including begging, asking for help, checking bags, counting coins, eating, cold behavior, idle poses, and talk-to-self actions.
Homeless Sleep Ground Animations
Sleeping animations with back, curl, side, and wake-up variations for environmental storytelling and ambient NPC setups.
Homeless Stand Animations
Standing homeless animations including begging, cold reactions, holding cup, idle poses, and looking around behaviors.
Homeless Walking Animations
Walking animations designed for slow, grounded, and believable urban NPC movement.
Technical Overview
• 90 Animation Sequences
• UE5 Mannequin (Manny/Quinn) compatible
• Root Motion included (can be used In-Place)
• IK bones supported
• Animation-only package (no meshes, no materials)
• Windows & Mac supported
Designed For
• Open-world cities
• Urban NPC systems
• Street environments
• Simulation projects
• Narrative-driven scenes
• Ambient crowd behavior