Long term activity monitoring with a wearable sensor node

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A survey on data fusion in internet of things: Towards secure and privacy-preserving fusion (2019, background): “A diversity of sensors (wearable sensors based on accelerometers [56, 57], pulse oximeters [57], temperature [56], and bend sensors [58, 59]) are deployed in smart home to collect data, which will be forwarded to the gateway for fusion as shown in Figure 1.”
The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition (2013, methodology): “The Darmstadt routine dataset – used to study unsupervised activity pattern discovery (Huynh et al., 2008) – is a long recording from body activity collected by the Porcupine system (Van Laerhoven et al., 2006).”
Physical Human Activity Recognition Using Wearable Sensors (2015, background): “Among the relevant studies that applied fuzzy methods for human activity recognition, one can cite those conducted by Salarian et al. [24], Marin-Perianu et al. [86] and Masse et al. [30].”
Activity identification using body-mounted sensors—a review of classification techniques (2009, background): “As an alternative smaller binary sensors, such as tilt switches, have been proposed (van Laerhoven and Cakmakci 2000; van Laerhoven et al 2006).”