Aiolli, Fabio and Ciman, Matteo and Donini, Michele and Gaggi, Ombretta (2014) ClimbTheWorld: Real-time stairstep counting to increase physical activity. In: 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services.
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Abstract
The increasing number of people that are overweight due to a sedentary life requires persuasive strategies to convince people to change their behaviors. In this paper, we present a machine learning based technique to recognize and count stairsteps when a person climbs or descends stairs. This techn
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 10:17 |
| Last Modified: | 17 Apr 2026 19:55 |
| URI: | http://eprints.eai.eu/id/eprint/11834 |
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