Research Article
Smart Behavioral Analytics over a Low-Cost IoT Wi-Fi Tracking Real Deployment
Table 1
Summary of the state of the art of people flow monitoring techniques which are not based on Wi-Fi tracking (P/A stands for Passive/Active).
| Technology | Ref | Year | Scenario | Application | P/A | Own deployment |
| Video camera & Computer Vision | [13] | 2015 | Indoor Outdoor | Crowd scene analysis | P | No | RF | [14ā16] | 2013 2014 2015 | Indoor | Short range movements (1-10 m) with high accuracy (e.g., elderly care, baby care) | P | Yes | Cellular networks | [18] | 2011 | Indoor Outdoor | Analyze people flow in a suburban area new NYC with accuracy around hundreds of meters | P | No | GPS | [19] | 2015 | Outdoor | Prevent critical situations in overcrowded scenarios (e.g., concerts) | A | No | Smartphone sensors (e.g., accelerometer) | [20] | 2018 | Indoor | PDR. Track individual pedestrian | A | Depends | Bluetooth | [21] | 2017 | Indoor | Monitor people flow (comparing Wi-Fi with Bluetooth) | A | Yes |
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