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MUSIC-DRIVEN SYSTEM FOR GROUP DANCE FORMATION GENERATION

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“SyncForm”

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SUPERVISORS

Supervisor Ms. Jenny Krishara

Co .Supervisor Ms. Dinuka Wijendra

External Supervisor Mr. Shakitha Kanchana

Shaki Dance Studio

External Supervisor Ms. Sachini (Fiya)

The Beez - M Entertaintment(Sirasa TV)

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Uthpalani A.K.M. IT22327444

Attanayake J.S IT22911230

Samarakoon K.K IT22346940

Team Leader Dissanayake D.M.S.A.B IT22595294

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MEMBERS

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INTRODUCTION

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Problem Statement & Stakeholders

Background

    • Group dances use formations to organize dancers on stage
    • In styles like hip-hop, formations change frequently to match the music

Stakeholders

    • Primary Users : Hip-hop choreographers, dance instructors,

(who lead the creative process)

    • Secondary Users : Dance teams and performers.

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Observed Issue

    • Choreographers manually design formations.
    • No systems generate music-synchronized group formations.
    • No automated planning for smooth transitions between formations.
    • Existing AI dance systems focus on single - dancer movement.
    • No standard way to evaluate formation quality

Problem Statement & Stakeholders

Why It Matters

    • Manual planning is time-consuming
    • Leads to inefficient rehearsal and performance planning
    • Difficult to coordinate large dance groups

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Main objective:

Develop an AI system capable of generating music-synchronized group dance formations with coordinated dancer arrangements and smooth transitions.

Research Gap:

    • Most existing music-to-dance AI systems generate movements for a single dancer.
    • They do not address group dance formations or spatial coordination.
    • Current choreography tools still require manual placement of dancers.

Research Gap & Objectives

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Solution Summary

An AI-assisted system that generates music - synchronized hip-hop group dance formations with coordinated dancer arrangements, smooth transitions, and formation quality evaluation focusing on structural choreography for groups of 3–10 dancers.

Key features

    • M1 - Music Feature Extraction & Segmentation
    • M2 - Formation Layout Planning
    • M3 - Formation Transition Planning & Interpolation
    • M4 - Formation Style Control & Evaluation

Solution Overview

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Non-functional focus

    • Performance - Efficient generation of dance formations and transitions.
    • Usability - Interactive web interface for easy visualization and editing of formations.
    • Reliability - Stable system with minimal errors
    • Security- Secure handling of system data

Current completion status

    • System development: ~90%+ completed
    • Core modules implemented

Solution Overview

-SonarQube test result-

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Overall System Diagram

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Commercialization

Pricing Model

Target Market

Value Proposition

First Music - Driven Formation generator collaborating with an external supervisor to build a strong brand identity for the product.

Free: Community Dancers $20/mo : Schools / Small Teams $50/mo : Pro Studios

Dance Schools & studios Cover Groups, Uni clubs, choreographers

Music - driven Automation Style - Adaptive

(hip - hop now)

Built in Formation Quality Index (FQI)

COMMERCIALIZATION & BUSINESS POTENTIAL

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THANK YOU!

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