Probabilistic Cascading Classifier for Energy-Efficient Activity Monitoring in Wearables

Advances in embedded systems have given rise to integrating several small-size health monitoring devices within daily human life. This trend led to an ongoing extension of wearable sensors in a broad range of applications. Wearable technologies, which are firmly connected with the human body, utiliz...

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Veröffentlicht in:	IEEE sensors journal 2022-07, Vol.22 (13), p.13407-13423
Hauptverfasser:	Pedram, Mahdi, Sah, Ramesh Kumar, Rokni, Seyed Ali, Nourollahi, Marjan, Ghasemzadeh, Hassan
Format:	Artikel
Sprache:	eng
Schlagworte:	Activity recognition Algorithms Classification Customization Embedded sensors Embedded systems Feature extraction Human activity recognition Human mechanics Machine learning Memory Power consumption Power management power optimization Probability theory Real-time systems Reconfiguration Sensors Statistical analysis Wearable computers Wearable sensors Wearable technology
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