Abstrakti
Ensuring the well-being of our canine companions is paramount nowadays and this study presented a wearable device with built in motion sensors, GPS tracking and temperature monitoring capabilities and hence offered a novel method of monitoring canine health. Through the collection and analysis of extensive data on location, physical activity, and body temperature, the device provided pet owners with insightful information about the health of their dogs. Through the combination of sensor data and machine learning algorithm facilitated in early detection of potential health issues by predicting activities such as walking and sleeping. Experimental results showed that, device could predict sleeping and walking with an accuracy 87%. The proposed device represented a promising tool for promoting canine health surveillance and responsible pet ownership.
Alkuperäiskieli | Englanti |
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Otsikko | Proceedings of the 9th Baltic Mechatronics Symposium |
Kustantaja | Aalto-yliopisto |
Sivumäärä | 6 |
ISBN (elektroninen) | 978-952-64-9656-6 |
Tila | Julkaistu - 2024 |
OKM-julkaisutyyppi | A4 Artikkeli konferenssijulkaisussa |
Tapahtuma | Baltic Mechatronics Symposium - Tallinn, Viro Kesto: 3 toukok. 2024 → 3 toukok. 2024 Konferenssinumero: 9 |
Conference
Conference | Baltic Mechatronics Symposium |
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Maa/Alue | Viro |
Kaupunki | Tallinn |
Ajanjakso | 03/05/2024 → 03/05/2024 |