Global Alzheimer's Disease Statistics
According to Alzheimer's Disease International, the number of Alzheimer's disease cases is expected to increase dramatically by 2050, with Japan being the country with the most significant increase.
Interview
Through our interviews with individuals diagnosed with Alzheimer's disease and their families or caregivers, we discovered that the most significant daily challenge is the loss of independent mobility. Moreover, it became evident that disorientation, leading to getting lost within urban environments, is a frequent and distressing issue
To inform the subsequent design phase effectively, it is crucial to gather comprehensive data in two primary domains: the nuances of licensed personal social dynamics for in-depth sentiment analysis, and detailed streetscape data to enable precise street-level comparisons.
Combined with the data of social media dynamics, firstly, word frequency analysis was carried out to extract the words with higher frequency to analyze the key concern parts of the patients.
Word frequency analysis combined with the contextual relevance of each dynamic, defining the user's emotionally preferred activities.
To enhance the user's sense of familiarity within urban environments, I utilize a semantic segmentation algorithm that analyzes and compares both their current and former living spaces. This approach helps us to identify streetscapes of high relevance, creating spaces that users will inherently recognize and feel more connected to.
Recognizing that individuals with Alzheimer's disease typically have a daily activity radius of 2 km, we have strategically selected city neighborhoods within this diameter as our focal sampling areas. I then pinpoint neighborhoods with a strong correlation to the users' patterns. Concurrently, an analysis of the users' social media interactions correlate their activity preferences with various city landmarks. These preferences are then categorized and visually represented on maps, providing a clear depiction of the users' points of interest within the urban landscape.
The evaluation system can be divided into four parts and eight factors. The street view similarity is a comprehensive judgment based on the street view factor score and building color score obtained by semantic segmentation; the route evaluation is composed of the route duration, the number and type of passing points; the social media indicator is combined with the historical Twitter dynamics of the elderly with Alzheimer's disease. , to determine the degree of preference and the degree of emotional fluctuation.
In each region, multiple candidate routes are formed, which are generated by POIs as route points, and each route contains no less than 70% of the types of POI in the whole region. The most compatible route is selected according to the score of the evaluation system.
