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Institute
Border issues continue to be of interest in tourism literature, most significantly that which focusses on cross-border shopping (e.g., currency values, taxation,
security). Borders as destinations are recognized in this area but the notion of shopping as a destination is perhaps less acknowledged. Following a review of the relevant literature, including the presentation of a table summarizing key areas of cross-border tourism research around the world, this paper presents a unique example of a border region with two-way traffic for cross-border shopping tourism: the border between Germany and Switzerland.
The particular case is where two cities meet at the border: Konstanz, Germany and Kreuzlingen, Switzerland. An intercept survey and key informant interviews were conducted in both communities in the spring of 2015. The results indicate high levels of traffic for various products and services. And while residents are generally satisfied with cross-border shopping in their communities, there are emerging issues related to volume and, in particular, too many in Konstanz and not enough in Kreuzlingen.
The paper concludes with a discussion that includes the development of a model cross-border shopping tourism that recognizes the multiple layers in space and destination.
The paper concludes with a proposal to further investigate the particular issues related to the volume on both sides of borders where cross-border shopping is the destination.
Fatigue and drowsiness are responsible for a significant percentage of road traffic accidents. There are several approaches to monitor the driver’s drowsiness, ranging from the driver’s steering behavior to analysis of the driver, e.g. eye tracking, blinking, yawning or electrocardiogram (ECG). This paper describes the development of a low-cost ECG sensor to derive heart rate variability (HRV) data for the drowsiness detection. The work includes the hardware and the software design. The hardware has been implemented on a printed circuit board (PCB) designed so that the board can be used as an extension shield for an Arduino. The PCB contains a double, inverted ECG channel including low-pass filtering and provides two analog outputs to the Arduino, that combined them and performs the analog-to-digital conversion. The digital ECG signal is transferred to an NVidia embedded PC where the processing takes place, including QRS-complex, heart rate and HRV detection as well as visualization features. The compact resulting sensor provides good results in the extraction of the main ECG parameters. The sensor is being used in a larger frame, where facial-recognition-based drowsiness detection is combined with ECG-based detection to improve the recognition rate under unfavorable light or occlusion conditions.