Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Power and accuracy trade-offs in sound-based context recognition systems
Pervasive and Mobile Computing
WearIT@work: Toward Real-World Industrial Wearable Computing
IEEE Pervasive Computing
From Backpacks to Smartphones: Past, Present, and Future of Wearable Computers
IEEE Pervasive Computing
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The concept of Wearable Computing can be used to support work processes of mobile workers e.g. in a factory environment or outdoors. The basis is a wireless network for an ubiquituous remote access to information. In the paper we explain the potential of Wearable Computing and focus on the technological challenges. During the last five years (2004 till 2009) the EC funded the worldwide largest project on Wearable Computing: wearIT@work (www.wearitatwork.com). The project did not focus on new technologies. However, with existing technologies new applications were developed. For new user groups of mobile workers a new quality of support had to be achieved. The paper reports at the end of the project on the main findings and lessons learned: An open hardware platform, an open software framework and for seven different application domains solutions were developed.