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• Figure 1 from Thinking Fast and Slow: An Approach to Energy-Efficient Human Activity Recognition on Mobile Devices

Figure 1 from Thinking Fast and Slow: An Approach to Energy-Efficient Human Activity Recognition on Mobile Devices

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Figure 1: Detecting begin and end of a trip relative to a significant place: Use cell-id patterns for “intuitive” detection when possible, and use GPS/WiFi for “deliberate” detection when necessary. Energy saving is achieved when a user visits the same places and repeats the same trips and accordingly the system works in the intuition mode. - "Thinking Fast and Slow: An Approach to Energy-Efficient Human Activity Recognition on Mobile Devices"

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Figure 6 from Thinking Fast and Slow: An Approach to Energy-Efficient Human Activity Recognition on Mobile Devices

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Figure 2 from Deep Learning for Sensor-based Activity Recognition: A Survey