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Powered Two-Wheelers (PTW) control is more complex than any other motorized vehicle control, in particular during emergency events, such as panic braking or last second swerving. For standard PTW, a common cause of accident in these situations is the loss of stability due to braking maneuvers. It is worth noting that for PTW the loss of stability means a high probability of fall, especially while cornering. Accordingly, the aim of this study is to propose a fall detection algorithm for PTW performing maneuvers leading to potential instability. The algorithm is composed of a number of parameters, named RISKi, able to detect potential fall events, critical for PTW safety. This fall detection methodology was developed to alert an advanced riding assistance system in order to produce proper counteractions against the imminent fall.