Upgrove Aplikasyon para sa Pagtatasa ng Itaas na Bahagi ng Braso ni Xinke Coco Wu

Ang disenyo na Upgrove Aplikasyon para sa Pagtatasa ng Itaas na Bahagi ng Braso ni Xinke Coco Wu ay isang lubhang iginagalang na nagwagi ng napaka-prestihiyosong 2026 A' Design Award na Bakal sa Kategoryang Paligsahan na Disenyo ng Teknolohiyang Mobile, Aplikasyon at Software.

BakalMobile· 2026

Upgrove Aplikasyon para sa Pagtatasa ng Itaas na Bahagi ng Braso

ni Xinke Coco Wu

Kliyente: The Multiple Sclerosis Center of Georgia

Nagwagi ng A' Design Award na Bakal sa Kategoryang Mobile

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Ang Disenyo

Tungkol sa Upgrove Aplikasyon para sa Pagtatasa ng Itaas na Bahagi ng Braso

Ang Upgrove ay isang mobile application para sa pagtatasa ng rehabilitasyon ng itaas na bahagi ng braso sa tahanan. Gumagamit ang aplikasyon ng camera-based motion capture sa mga karaniwang telepono, tablet at telebisyon na may front-facing camera, kaya hindi na kailangan ng mga wearable sensor. Ang mga standardized na klinikal na pagsusulit sa paggalaw ay isinalin sa mga mini-game na may temang bukid. Sinusuri ng computer vision ang paggalaw upang tantiyahin ang saklaw ng paggalaw, katumpakan at katatagan, at isang iskor ang inilalabas pagkatapos ng bawat aktibidad. Ang mga ulat ng progreso ay nagbibigay-daan sa mga pasyente na subaybayan ang pangmatagalang paggaling at nagbibigay-daan sa mga clinician na suriin ang performance nang malayuan.

Ang Pagkilala

Tungkol sa A' Design Award na Bakal

Ang Upgrove Aplikasyon para sa Pagtatasa ng Itaas na Bahagi ng Braso ay nagwagi ng A' Design Award na Bakal, isang prestihiyosong pagkilalang iginagawad sa mga mahuhusay na disenyong tumutugon sa mga propesyonal at pang-industriyang kinakailangang inaasahan sa mga mahusay na pagkakadisenyong likha. Ang mga nagwagi ng Bakal ay nagpapakita ng dakilang husay, mataas na espesyalisasyon, dalubhasang pag-unawa at kakayahang malikhain ng kanilang mga lumikha. Inaasahang ang Upgrove Aplikasyon para sa Pagtatasa ng Itaas na Bahagi ng Braso ay isang lubos na pinahahalagahan, hinahangaan at minamahal na likhang praktikal at makabago. Ang disenyong ito na nagwagi ng A' Design Award na Bakal ay nagsasama ng pinakamahuhusay na kasanayan ng industriya at may mahuhusay na katangiang teknikal na may kasamang kaalaman at talento. Ang Upgrove Aplikasyon para sa Pagtatasa ng Itaas na Bahagi ng Braso ay iginagalang dahil sa kaingatan nito at idinisenyo upang maghatid ng mga pagpapabuti sa kalidad ng buhay na tumutulong gawing mas mabuting lugar ang mundo.

Sa Likod ng Disenyo

Press Kit

Mga kredito, miyembro ng koponan at teknikal na detalye na ibinigay ng taga-disenyo.

Mga Natatanging Katangian: 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.
Mga Sukat at Packaging: 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.
Mga Tag: Digital Health, Upper-Limb Recovery, Sensor-Free Motion Capture, Computer Vision, Gamified Therapy, Gamified Assessment, Gesture Interaction, Motion Games
Teknolohiya sa Produksyon: 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.
Hamon sa Disenyo: 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.
Pananaliksik: 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.
Inspirasyon: 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.
Tagal ng Proyekto: 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.
Daloy ng Operasyon: 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.
Mga Miyembro ng Koponan: Design Lead: Xinke (Coco) Wu
Visual Designer: Jhih Rou (Iris) Sun
Motion Designer: Yameng Li
Mga Credit ng Larawan: 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.