Upgrove Jyva Yvategua Ñehesa'ỹijo Aplicación Xinke Coco Wu omba'apóva

Upgrove Jyva Yvategua Ñehesa'ỹijo Aplicación Xinke Coco Wu omba'apóva ha'e rembiporuarã oñemba'eguaséva 2026 A' Design Award Fiero pegua Celular Jejapo Ñeha'ã Categoría-pe.

FieroCelular· 2026

Upgrove Jyva Yvategua Ñehesa'ỹijo Aplicación

Xinke Coco Wu -gua

Mba'eporuhára: The Multiple Sclerosis Center of Georgia

A' Design Award Fiero Rembiporuarã Celular Categoría-pe

7,279

Premio Rembiporuarã Oñemoneĩva

Emoneĩ Premio Reko #182818 Peg̃ua

Eike Tendápe Ehecha A' Design Award-pe Marandu Myasãi Mba'ete Jeguerohory

Sa'y

Diseño

Upgrove Jyva Yvategua Ñehesa'ỹijo Aplicación Rehegua

Upgrove ha'e peteĩ aplicación móvil ojeporúva jyva yvategua ñemonguera jehechajey ógape. Ko aplicación oiporu kámara rupive movimiento ñemyanyhẽ pumbyry, tableta ha televisión oguerekóvape kámara henondegua, upévare natekotevẽi ojeporu sensor ojemondéva. Umi test clínico estandarizado oñembohasa mini-juego chokokue rembiapo rehegua ramo. Visión computacional ohesa'ỹijo movimiento omoha'ãnga hag̃ua rango de movimiento, tekoporã ha ñemohenda mbarete, ha oñemoheñói peteĩ puntaje opa tembiapo rire. Umi informe jeku'e rehegua omoneĩ hasyvakuérape ohechauka hag̃ua imonguera puku, ha omoneĩ avei pohãnohárape ohechajey hag̃ua tembiapo mombyry guive.

Jeguerohory

A' Design Award Fiero Rehegua

Upgrove Jyva Yvategua Ñehesa'ỹijo Aplicación ohupyty A' Design Award Fiero, peteĩ ñehechakuaa prestigioso oñeme'ẽva diseño iporã-pe ohupytýva requisito profesional ha industrial oñeha'ãrõva creación iporã oñemoĩva-gui. Umi ganador Fiero ohechauka habilidad guasu, especialización yvate, comprensión experta ha capacidad creativa umi creador rehegua. Oñeha'ãrõ Upgrove Jyva Yvategua Ñehesa'ỹijo Aplicación ha'eha creación ojehayhúva, admirada ha estimada, práctica ha innovadora. Ko diseño ohupytýva A' Design Award Fiero ombojoaju mejor práctica industria rehegua ha oguereko característica técnica competente ojoajúva conocimiento ha talento ndive. Upgrove Jyva Yvategua Ñehesa'ỹijo Aplicación oñerespeta hembiapo cuidadoso rupi ha oñemoĩ ome'ẽ hag̃ua mejora calidad de vida rehegua oipytyvõva yvy ape iporãve hag̃ua.

Diseño Rapykuéri

Marandu Aty

Diseñador ome'ẽva'ekue crédito, aty pegua ha mba'e técnico.

Mba'e Iñambuéva: UpGrove addresses a key gap in upper-limb rehabilitation, where accurate assessments are typically limited to clinical settings and recovery progress remains largely invisible between visits. The system translates standardized clinical motion tests into intuitive farm-themed activities that patients can perform at home. Camera-based motion capture analyzes mobility and coordination while gameplay scores objectively quantify performance. Continuous self-tracking, progress visualization, and rewarding feedback help patients stay motivated while enabling clinicians to monitor long-term recovery beyond the clinic.
Tuichakue ha Ñemyenyhẽ: The system operates on standard cross-platform devices such as mobile phones, tablets, and TVs equipped with front-facing cameras. Computer vision models analyze skeletal movement patterns to estimate joint mobility and motion trajectories without requiring wearable sensors. The application provides real-time visual guidance, scoring mechanisms, and progress-tracking dashboards. Motion data are translated into measurable indicators such as range of motion, accuracy, and movement stability, enabling scalable and sensor-free rehabilitation assessment.
Ñe'ẽ Rape: Digital Health, Upper-Limb Recovery, Sensor-Free Motion Capture, Computer Vision, Gamified Therapy, Gamified Assessment, Gesture Interaction, Motion Games
Ñeapopy Tecnología: UpGrove is implemented as a mobile application using camera-based motion capture powered by computer vision algorithms. The system analyzes upper-limb movements in real time to estimate range of motion, stability, and control. Gesture recognition maps clinical motion patterns to interactive game mechanics, while data processing generates performance scores and actionable feedback. The design integrates motion tracking, gamification, and data visualization to support continuous rehabilitation assessment.
Diseño Jepy'apy: The main challenge was translating clinically standardized upper-limb assessments into engaging digital interactions without compromising medical validity. Clinical tests are designed for accuracy rather than motivation, while game experiences prioritize engagement. The project required balancing these two perspectives by mapping therapeutic motions to intuitive gameplay mechanics. Another challenge was enabling reliable motion evaluation using device cameras without wearable sensors. Through close collaboration with clinicians and iterative prototyping, the design aligned clinical requirements with accessible interaction design.
Ñesẽheka: Mixed-methods design research was conducted to explore how clinical upper-limb assessments could become engaging gamified experiences. The study combined literature review, interviews with clinicians, domain experts, and patients, concept testing, usability testing, and technical validation. Data were gathered through clinical protocol analysis and motion interaction experiments using mobile cameras. Participants included 10+ clinicians and physical therapists and 3 patients. User testing results indicated that UpGrove significantly improved patients’ visibility of recovery progress, motivation to perform self-assessments, and accessibility of upper-limb rehabilitation beyond clinical environments.
Inspiración: UpGrove was inspired by the gap between clinic-based upper-limb assessments and patients’ everyday rehabilitation experiences at home. Many patients lack visibility into their long-term recovery progress and often feel discouraged during extended rehabilitation periods. In addition, traditional assessments typically require clinical visits, making frequent monitoring inconvenient for patients and clinicians alike. Research with clinicians, patients, and engineers inspired us to explore how clinical assessments could be translated into intuitive motion games and objective performance scores using device cameras. By transforming an often invisible and clinic-isolated recovery process into a visible and accessible experience, UpGrove aims to improve engagement, accessibility, and continuity in long-term rehabilitation.
Proyecto Ára Tuichakue: The project was initiated in 2023 as part of human-computer interaction research on digital rehabilitation. Concept development, interaction design, and prototype implementation were completed between 2024 and 2025. The project was developed through interdisciplinary collaboration among designers, engineers, clinicians, and patients to explore accessible at-home rehabilitation assessment. The design is currently being implemented by the Georgia Tech Contextual Computing Lab in collaboration with the Georgia Multiple Sclerosis Center.
Mba'apo Rape: Users launch UpGrove on a personal mobile device and create a personalized profile to receive tailored self-assessment tasks. On a regular schedule, patients perform guided upper-limb motion tests designed as farm-themed mini-games in their home environment. The front-facing camera captures body movements while the system analyzes gestures in real time. Visual cues guide users through therapeutic motions, and after each activity the system generates scores and progress feedback. Over time, the application builds longitudinal recovery reports that allow patients to understand their rehabilitation progress while also enabling clinicians to remotely review performance data and monitor patient recovery outside clinical visits.
Aty Rembiguái: Design Lead: Xinke (Coco) Wu
Visual Designer: Jhih Rou (Iris) Sun
Motion Designer: Yameng Li
Ta'ãnga Mba'eñemoneĩ: Images and visual materials were created by Xinke Wu (Designer), Jhih Rou (Iris) Sun (Designer) with AI-assisted generation tools like ChatGPT and Gemini, UpGrove Project, 2025.