Upgrove Ka Polokalamu Loiloi Lālā Luna na Xinke Coco Wu

ʻO Upgrove Ka Polokalamu Loiloi Lālā Luna na Xinke Coco Wu he mea lanakila hanohano loa o ka 2026 A' Design Award Hao ma ka Māhele Hoʻokūkū Hoʻolālā Paʻalima, Polokalamu a me Lako Paʻalima.

HaoPaʻalima· 2026

Upgrove Ka Polokalamu Loiloi Lālā Luna

na Xinke Coco Wu

Mea Kūʻai: The Multiple Sclerosis Center of Georgia

Mea Lanakila A' Design Award Hao ma ka Māhele Paʻalima

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Mea Lanakila i Hōʻoia ʻIa

Hōʻoia i ke Kūlana Makana no #182818

Kipa i ka Pūnaewele Nānā ma A' Design Award Hoʻolaha Nūhou Hōʻailona Makana

Nā Waihoʻoluʻu

Ka Hoʻolālā

E Pili Ana iā Upgrove Ka Polokalamu Loiloi Lālā Luna

He polokalamu paʻalima ʻo Upgrove no ka loiloi hoʻōla kino o ka lālā luna ma ka home. Hoʻohana ka polokalamu i ka hopu ʻoni ma o ke pahupaʻikiʻi ma nā kelepona maʻamau, nā papa kamepiula a me nā kīwī me nā pahupaʻikiʻi alo, no laila ʻaʻole pono nā mea ʻike hoʻokomo ʻia ma ke kino. Ua hoʻololi ʻia nā hōʻike ʻoni lapaʻau kūhelu i mau pāʻani liʻiliʻi me ke kumumanaʻo mahiʻai. Loiloi ka ʻike kamepiula i ka neʻe no ka helu ʻana i ka laulā o ka ʻoni, ka pololei a me ka paʻa, a hāʻawi ʻia kekahi helu ma hope o kēlā me kēia hana. ʻAe nā hōʻike holomua i nā maʻi e nānā i ko lākou ola hou ʻana no ka wā lōʻihi a ʻae i nā kauka lapaʻau e nānā i ka hana mai kahi mamao aku.

Ka Hoʻomaikai

E Pili Ana i ka A' Design Award Hao

Ua lanakila ka hoʻolālā Upgrove Ka Polokalamu Loiloi Lālā Luna i ka A' Design Award Hao, he ʻike hoʻohanohano i hāʻawi ʻia i nā hoʻolālā maikaʻi e hoʻokō ana i nā koi ʻoihana a ʻoihana hana i manaʻo ʻia mai nā mea hoʻokumu i hana maikaʻi ʻia. Hōʻike nā lanakila Hao i ka mākau nui, ka loea kiʻekiʻe, ka ʻike akamai a me ka hiki hana noʻeau o ka poʻe i hana iā lākou. Manaʻo ʻia ʻo ka hoʻolālā Upgrove Ka Polokalamu Loiloi Lālā Luna he mea hoʻokumu i mahalo nui ʻia, hoʻohiwahiwa ʻia a aloha ʻia e pono a hou. ʻO kēia hoʻolālā i lanakila i ka A' Design Award Hao e hoʻohui ana i nā hana maikaʻi loa o ka ʻoihana a loaʻa nā ʻano ʻenehana mākaukau i hui pū ʻia me ka ʻike hana a me ka makakoho. Mahalo ʻia ka hoʻolālā Upgrove Ka Polokalamu Loiloi Lālā Luna no kona nānā pono a ua hoʻolālā ʻia e hāʻawi i nā hoʻomaikaʻi ola e kōkua ai i ka hana ʻana i ka honua i wahi maikaʻi aku.

Ma Hope o ka Hoʻolālā

ʻEke Nūhou

Nā hōʻoia, nā lālā hui a me nā kikoʻī ʻenehana i hāʻawi ʻia e ka mea hoʻolālā.

Nā ʻAno Kūʻokoʻa: 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.
Nā Ana a me ka Hoʻopili: 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.
Nā Lepili: Digital Health, Upper-Limb Recovery, Sensor-Free Motion Capture, Computer Vision, Gamified Therapy, Gamified Assessment, Gesture Interaction, Motion Games
ʻEnehana Hana: 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.
Pilikia Hoʻolālā: 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.
Noiʻi: 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.
Hoʻoulu Manaʻo: 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.
Ka Lōʻihi o ka Papahana: 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.
Kaʻina Hana: 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.
Nā Lālā Hui: Design Lead: Xinke (Coco) Wu
Visual Designer: Jhih Rou (Iris) Sun
Motion Designer: Yameng Li
Nā Kuleana Kiʻi: 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.