Abstract
Many context-aware applications based on activity recognition are currently using mobile phones. Most of this work is done in an offline way. However, there is a shift towards an online approach in recent studies, where activity recognition systems are implemented on mobile phones. Unfortunately, most of these studies lack proper reproducibility, resource consumption analysis, validation, position-independence, and personalization. Moreover, they are hard to compare in various aspects due to different experimental setups. In this paper, we present a short overview of the current research on online activity recognition using mobile phones, and highlight their limitations. We discuss these studies in terms of various aspects, such as their experimental setups, position-independence, resource consumption analysis, performance evaluation, and validation. Based on this analysis, we define a roadmap towards a better comparative research on online activity recognition using mobile phones.
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