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Albrecht Schmidt

Researcher at Ludwig Maximilian University of Munich

Publications -  623
Citations -  20888

Albrecht Schmidt is an academic researcher from Ludwig Maximilian University of Munich. The author has contributed to research in topics: Ubiquitous computing & User interface. The author has an hindex of 66, co-authored 590 publications receiving 18728 citations. Previous affiliations of Albrecht Schmidt include Technische Universität Darmstadt & Karlsruhe Institute of Technology.

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Journal ArticleDOI

A cube to learn: a tangible user interface for the design of a learning appliance

TL;DR: It is argued that breaking conventions about how a computer has to look like, and providing children with a playful interface is a promising approach to embed and integrate technology into children’s everyday context and activities.
Proceedings ArticleDOI

Enabling implicit human computer interaction: a wearable RFID-tag reader

TL;DR: Wearable RFID technology that facilitates applications that are triggered by handling tagged physical objects and is integrated with an enterprise resource planning system to optimize work processes that involve physical objects is reported on.
Journal ArticleDOI

Pervasive RFID and Near Field Communication Technology

TL;DR: The future evolution of RFID beyond goods identification, including sensor integration, localization, NFC applications, and emerging challenges, is discussed at the Pertec workshop.
Proceedings ArticleDOI

Adding some smartness to devices and everyday things

TL;DR: This work discusses augmentation of mobile artifacts with diverse sets of sensors and perception techniques for awareness of context beyond location, and reports experience from two projects, one on augmenting mobile phones with awareness technologies, and the other on embedding of awareness technology in everyday non-digital artifacts.
Proceedings ArticleDOI

Supporting Mobile Service Usage through Physical Mobile Interaction

TL;DR: A generic framework that combines semantic Web service technology and physical mobile interaction is presented that uses mobile devices to extract information from augmented physical objects and use it for a more intuitive and convenient invocation of associated services.