IoT system for Human Activity Recognition using BioHarness 3 and Smartphone

Rodríguez, Camilo; Castro, Diego; Coral, William; Cabra, Jose; Velasquez, Nicolas; Colorado, Julián; Méndez, Diego; Trujillo, Luis Carlos

doi:10.1145/3102304.3105828

Cited by 24 publications

(22 citation statements)

References 11 publications

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“…Similarly to Kekade et al 2018 [2], we also assessed the studies' reporting of research design (Table 2), and the reported participant demography, i.e., number of participants, age, gender and the distribution of healthy participants and patients (see Sections 3.1-3.4 and Table 3). Many studies presented the participant demographics poorly, or not at all [3][4][5][6][7][8][9][10][11][12]. Rather than excluding these from the tables, we indicate missing information with a "-".…”

Section: Qualitative Synthesismentioning

confidence: 99%

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A Systematic Review on the Use of Wearable Body Sensors for Health Monitoring: A Qualitative Synthesis

Kristoffersson

Lindén

2020

Sensors

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The use of wearable body sensors for health monitoring is a quickly growing field with the potential of offering a reliable means for clinical and remote health management. This includes both real-time monitoring and health trend monitoring with the aim to detect/predict health deterioration and also to act as a prevention tool. The aim of this systematic review was to provide a qualitative synthesis of studies using wearable body sensors for health monitoring. The synthesis and analysis have pointed out a number of shortcomings in prior research. Major shortcomings are demonstrated by the majority of the studies adopting an observational research design, too small sample sizes, poorly presented, and/or non-representative participant demographics (i.e., age, gender, patient/healthy). These aspects need to be considered in future research work.

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Section: Qualitative Synthesismentioning

confidence: 99%

“…Our findings are further discussed in Section 4. [5,6] Physical activity recognition 3 ------ [7] Physical activity recognition 65…”

Section: Qualitative Synthesismentioning

confidence: 99%

A Systematic Review on the Use of Wearable Body Sensors for Health Monitoring: A Qualitative Synthesis

Kristoffersson

Lindén

2020

Sensors

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“…Similar to the previous approach, the IoT system described by [28] was able to monitor body acceleration also along with heart and respiration. The system has presented with a single device named as ZephyrTM Bioharness, which is a device approved by the FDA, with internal reference k113045.…”

Section: International Journal Of Computer Applications (0975 -8887) mentioning

confidence: 99%

The Internet of Things: Vision, Architecture and Applications

Deshpande¹,

Damkonde²,

Chavan³

2017

IJCA

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The domain of the Internet has extended from computers to different types of heterogeneous and homogeneous sensors leading to connectivity of almost everything and making it smart. This has resulted in the development of Internet of Things (IoT). This paper attempts to give a brief description of the IoT system, its general architecture, the different layers of IoT architecture and the technologies used for the development of an IoT System. The main objective of the paper is to give recent advances in applications of various types in different domains.

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“…(Haghi et al, 2017). Another application related to healthcare is the Human Activity Recognition (HAR) where IoT is used to remotely monitor vital human signs (Rodriguez et al, 2017).…”

Section: Figure 6: Main Services and Application In An Iomtmentioning

confidence: 99%