Context-Aware Indoor Positioning System is a platform for collecting and analyzing indoor positioning training data (such as radio maps) augmented with context-aware information (such as temperature, device model, etc.)
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README.md

CAIPS

The Context-Aware Indoor Positioning System (CAIPS) is a platform for collecting and analyzing indoor positioning training data (such as radio maps) augmented with context-aware information (such as temperature, device model, etc.)

CAIPS is an Android native app.

Context-Aware Indoor Positioning System (CAIPS) icon

See also:

  • Nearchos Paspallis, Marios Raspopoulos, An Open Platform for Studying and Testing Context-Aware Indoor Positioning Algorithms, 25th International Conference on Information Systems Development (ISD2016), Katowice, Poland, August 24-26, 2016, pp. 314-321 (http://dx.doi.org/10.1007/978-3-319-52593-8_3)
  • Nearchos Paspallis, Salah Eddin Alshaal, Improving QoE via Context Prediction: A Case Study of Using WiFi Radiomaps to Predict Network Disconnection, International Workshop on Autonomous Control for Performance and Reliability Trade-offs in Internet of Services (ACPROSS'17) in conjunction with the 8th ACM/SPEC International Conference on Performance Engineering (ICPE'17), L’Aquila, Italy, April 22, 2017 (http://dx.doi.org/10.1145/3053600.3053603)