Application of LPWA-technology in IoT for Outdoor Sports: Thesis project
Author
Jeppesen, Anders
Term
4. term
Publication year
2018
Submitted on
2018-01-04
Pages
62
Abstract
Dette speciale undersøger, hvordan et Internet of Things (IoT)-koncept til udendørssport kan designes med Low-Power Wide-Area (LPWA)-teknologi (trådløse net med lang rækkevidde og lavt energiforbrug) for at afhjælpe begrænsningerne ved nutidens sports-wearables. Arbejdet fokuserer på sikkerhed for udøvere af fx mountainbike, ski, trailløb, rafting og klatring, som ofte foregår i bjerge og skove, hvor mobildækningen er svag eller mangler. Aktiviteterne er risikofyldte og kan vare fra et par timer til flere dage eller uger, hvilket stiller krav, som nuværende smartwatches og fitness-trackere ofte ikke opfylder. Projektet skitserer en implementering, der bruger sensorer til at registrere bevægelse, præstation og biologiske signaler med relevans for sikkerhed. Med ski som eksempel kan systemet måle tid fra kant-til-kant-transition og svingfrekvens, carvingsvinkel via et gyroskop, højdemeter og distance, hastighed, acceleration, airtime samt g-kræfter i sving. Det omfatter også fald- og stødregistrering samt biologiske målinger som pulsfrekvens og kortisolniveau. Ved at anvende LPWA-forbindelse sigter konceptet mod lang rækkevidde og lavt strømforbrug, som er bedre egnet til fjerntliggende områder og lange varigheder. Specialet adresserer udfordringerne ved at designe og implementere IoT-wearables til udendørssport under disse betingelser.
This thesis examines how an Internet of Things (IoT) concept for outdoor sports can be designed using Low-Power Wide-Area (LPWA) technology (wireless networks that reach long distances while using little energy) to overcome the limits of today’s sports wearables. The work focuses on safety use cases for athletes who practice mountain biking, skiing, trail running, rafting, climbing, and similar activities in mountains and forests where cellular coverage is often weak or absent. These activities are high risk and can last from a few hours to many days or weeks, creating demands that current smartwatches and fitness trackers often do not meet. The project outlines an implementation that uses sensors to record movement, performance, and biological signals relevant to safety. Using skiing as an example, the system can measure edge-to-edge transition time and turn rate, carving angle via a gyroscope, elevation gain and distance, speed, acceleration, air time, and g-forces during turns. It also includes fall and impact detection, and biological measures such as heart rate and cortisol level. By adopting LPWA connectivity, the concept aims to provide long-range communication and reduced power consumption, better suited to remote environments and long durations. The thesis addresses the design and implementation challenges of building IoT wearables for outdoor sports under these conditions.
[This abstract was generated with the help of AI]
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