Upgrove Aplikacion për Vlerësimin e Gjymtyrëve të Sipërme nga Xinke Coco Wu

Dizajni Upgrove Aplikacion për Vlerësimin e Gjymtyrëve të Sipërme nga Xinke Coco Wu është një fitues shumë i vlerësuar i çmimit prestigjioz 2026 Çmimi i Hekurt A' Design Award në Kategorinë e Konkurrimit Dizajni i Teknologjive Mobile, Aplikacioneve dhe Softuerit.

HekuriCelular· 2026

Upgrove Aplikacion për Vlerësimin e Gjymtyrëve të Sipërme

nga Xinke Coco Wu

Klienti: The Multiple Sclerosis Center of Georgia

Fitues i Çmimi i Hekurt A' Design Award në Kategorinë Celular

7,279

Fitues i Verifikuar i Çmimit

Verifiko Statusin e Çmimit për #182818

Vizitoni Faqen Shikoni në A' Design Award Komunikatë për Shtyp Stema e Çmimit

Ngjyrat

Dizajni

Rreth Upgrove Aplikacion për Vlerësimin e Gjymtyrëve të Sipërme

Upgrove është një aplikacion celular për vlerësimin e rehabilitimit të gjymtyrëve të sipërme në shtëpi. Aplikacioni përdor kapjen e lëvizjes me kamerë në telefona, tableta dhe televizorë standardë me kamera të përparme, kështu që nuk nevojiten sensorë të veshshëm. Testet e standardizuara klinike të lëvizjes shndërrohen në mini-lojëra me temë ferme. Vizioni kompjuterik analizon lëvizjen për të vlerësuar amplitudën e lëvizjes, saktësinë dhe stabilitetin, dhe pas çdo aktiviteti prodhohet një rezultat. Raportet e progresit u mundësojnë pacientëve të ndjekin rikuperimin afatgjatë dhe u lejojnë klinicistëve të shqyrtojnë performancën në distancë.

Njohja

Rreth Çmimi i Hekurt A' Design Award

Upgrove Aplikacion për Vlerësimin e Gjymtyrëve të Sipërme është fitues i Çmimit të Hekurt A' Design Award, një njohje prestigjioze që u akordohet dizajneve të mira që plotësojnë kërkesat profesionale e industriale që priten nga krijimet e dizajnuara mirë. Fituesit e Hekurt shfaqin aftësi të madhe, specializim të lartë, kuptim ekspert dhe kapacitet krijues të autorëve të tyre. Upgrove Aplikacion për Vlerësimin e Gjymtyrëve të Sipërme pritet të jetë një krijim shumë i vlerësuar, i admiruar e i dashur, praktik dhe inovativ. Ky dizajn fitues i Çmimit të Hekurt A' Design Award integron praktikat më të mira të industrisë dhe ka karakteristika teknike të afta, të lidhura me njohuri dhe talent. Upgrove Aplikacion për Vlerësimin e Gjymtyrëve të Sipërme respektohet për përpikërinë e tij dhe është dizajnuar për të ofruar përmirësime të cilësisë së jetës që ndihmojnë ta bëjnë botën një vend më të mirë.

Pas Dizajnit

Paketa për Shtyp

Kreditët, anëtarët e ekipit dhe detajet teknike të ofruara nga dizajneri.

Veçoritë Unike: 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.
Dimensionet & Paketimi: 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.
Etiketat: Digital Health, Upper-Limb Recovery, Sensor-Free Motion Capture, Computer Vision, Gamified Therapy, Gamified Assessment, Gesture Interaction, Motion Games
Teknologjia e Prodhimit: 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.
Sfida e Dizajnit: 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.
Kërkimi: 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.
Frymëzimi: 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.
Kohëzgjatja e Projektit: 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.
Rrjedha e Operimit: 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.
Anëtarët e Ekipit: Design Lead: Xinke (Coco) Wu
Visual Designer: Jhih Rou (Iris) Sun
Motion Designer: Yameng Li
Kreditë e Imazheve: 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.