noting that retrieving information and multimedia contents related to the cultural tour of each user is an expensive process from both the computational and memory point of view. For this reason, the Cloud seems to represent the solution that best suits this kind of needs, as its storing and computing capabilities allow to process data more efficiently. In particular, in the proposed system, the Cloud is accessed by the processing center whenever the running services need to retrieve cultural contents destined to the users. The Cloud is also exploited to provide two other interesting services. The first one allows each visitor to store vocal comments about his/her cultural experience on a storage space in the Cloud, so that s/he can hear again them after the visit. To accomplish this task, the wearable device is equipped with a microphone and, of course, it is associated to a storage user account in the Cloud. More specifically, when the wearable device is provided to the user, a quick profiling procedure is performed to both associate the device to the user and create an account in the Cloud to store the vocal comments s/he generates during the cultural experience. The Cloud storing is realized exploiting the Amazon Simple Storage Service (Amazon S3) [20], which provides proper APIs for several client platforms. In this way, the wearable device becomes an Amazon S3 client that stores the audio files in the Cloud and generates the REST URIs to get these files back from the Web. Of course, the file URIs are stored in a database and are associated with the correspondent user ID. The second Cloud service concerns the social activity of the user. If s/he enables the “social option” when the wearable device is delivered at the beginning of the tour, every interesting event triggered by the environment is automatically shared on user’s social networks. Currently, the proposed system is able to share events on Facebook by exploiting the Facebook Graph APIs [21], which allow managing (e.g., post, delete, update, etc.) messages on a Facebook account. In more detail, when a meaningful event is detected from the environment, the application running on the wearable device authenticates the user on Facebook by exploiting the OAuth 2.0 authentication standard [22] and then shares the event through the Graph APIs. Finally, the architecture exposes in the Cloud another useful service that provides statistical information about the busyness of the museum. Indeed, by exploiting the localization information, this service always knows how many visitors are moving in the museum and where they are. Therefore, this service can be used by external users to know in advance the length of queues in specific areas of the museum or which are the most admired artworks. Moreover, the information provided by this service could also be exploited by the museum supervisors to schedule partial maintenance works or to reorganize the internal spaces.