ڈیزائن Upgrove بُرزیں لُنکءِ ارزشتءِ ایپلیکیشن چه ڈیزائنر Xinke Coco Wu یک باز باایزّتین بُردکار ته 2026 A' Design Award آسنین انعام ته بخش رقابتی موبائل ٹیکنالوجیز، ایپلیکیشنز ءِ سافٹ ویئر ڈیزائن اِنت.
آسنموبائل· 2026
Upgrove بُرزیں لُنکءِ ارزشتءِ ایپلیکیشن
مشتری: The Multiple Sclerosis Center of Georgia
بُردکار A' Design Award آسنین انعام ته بخش موبائل
تصدیقبوتگین ایوارڈ بُردکار
ایوارڈ حالت تصدیق په #182818ڈیزائن
Upgrove بُرزیں لُنکءِ ارزشتءِ ایپلیکیشن ءِ بارءَ
اپ گروو یک موبائل ایپلیکیشنے کہ لوگ ءَ بُرزیں لُنک (دست) ءِ وتسرکنگ ءِ ارزشت کنگ ءِ واستا جوڑ کنگ بوتگ۔ اے ایپلیکیشن عام فون، ٹیبلٹ ءُ ٹیلی ویژنانی دیمی کیمرہ ءِ مدت ءَ جنبش ءِ گرگ (موشن کیپچر) ءَ کارمرز کنت، پمیشا هچ گَنڈگی سینسرے ءِ لوٹ نیست۔ معیاری کلینکی جنبشی ٹیسٹ زمینداری ءِ رنگ ءِ کسانیں گیمانی سرا ترّینگ بوتگ اَنت۔ کمپیوٹر وژن جنبش ءَ کاوش کنت تاں جنبش ءِ حد، ٹھیکی ءُ استواری ءِ اندازہ بہ کنت، ءُ ہر سرگرمی ءَ رند یک نمبرے دیگ بیت۔ پیشرفت ءِ رپورٹ ناجوڑاں اے موکل دنت کہ وتی درازمدتی جوڑی ءِ ردگیری بہ کن اَنت ءُ ڈاکٹراں اے موکل دنت کہ دور ءَ نشتگ کارکردگی ءَ چار اَنت۔
پِجّاری
A' Design Award آسنین انعام ءِ بارءَ
Upgrove بُرزیں لُنکءِ ارزشتءِ ایپلیکیشن A' Design Award آسنین انعام ءِ ورگ آ انت، معزز اعتراف کہ آ جوانیں ڈیزائناں دیگ بیت کہ جوانیں ڈولا ڈیزائن کنگ بوتگیں تخلیقاں چہ متوقع پیشہ ورانہ ءُ صنعتی ضرورتاں پورا کننت۔ آسن ءِ ورگ آ وتی خالقاں ءِ مزن مہارت، اعلیٰ ماہری، ماہرانہ سمجھ ءُ تخلیقی صلاحیت پیش کننت۔ Upgrove بُرزیں لُنکءِ ارزشتءِ ایپلیکیشن چہ امید کنگ بیت کہ آ یک باز قدر کنگ بوتگیں، ساراہگ بوتگیں ءُ پیارکنگ بوتگیں تخلیق بیت کہ عملی ءُ جدت ءِ انت۔ ای ڈیزائن کہ A' Design Award آسنین انعام ءَ برتگ، صنعت ءِ بہترین طریقہ یکجا کنت ءُ علم ءُ صلاحیت گوں جوڑ بوتگیں قابل تکنیکی خصوصیتاں دار انت۔ Upgrove بُرزیں لُنکءِ ارزشتءِ ایپلیکیشن ءِ سنجیدگی ءِ سببا عزت کنگ بیت ءُ آ زندگی ءِ معیار ءَ بہتری آرگ ءِ پہ جوڑ کنگ بوتگ کہ جہان ءَ جوانتر جاگہ جوڑ کنگ ءَ مدد کنت۔
ڈیزائن ءِ پُشت سر
پریس کِٹ
اعتبارات، ٹیم ءِ نفر و تکنیکی تفصیلات ڈیزائنر ءِ نیمگا فراهم کنگ بوتگ.
- خاصین بزانتان
- 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.
- اندازه ؤ بستهبندی
- 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.
- ٹیگان
- Digital Health, Upper-Limb Recovery, Sensor-Free Motion Capture, Computer Vision, Gamified Therapy, Gamified Assessment, Gesture Interaction, Motion Games
- تولید ٹکنالوجی
- 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.
- ڈیزائن چیلنج
- 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.
- تحقیق
- 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.
- الهام
- 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.
- پرۏژه مدّت
- 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.
- عملیاتی رۏش
- 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.
- ٹیمئے اعضا
- Design Lead: Xinke (Coco) Wu
Visual Designer: Jhih Rou (Iris) Sun
Motion Designer: Yameng Li - تصویرانی کریڈٹ
- 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.
اسپانسر
چه Designers.org آن سۏئے بپلٹیت
مئی تبلیغاتی هونبازانی محصولات، خدمات ؤ فرصتان دریافت کنیت.
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