There is substantial evidence about the scaleindependent nature of human dynamics. Within the field of actigraphy, numerous findings support this claim, such as the emergence of power-law distributions and the presence of 1/f noise in human locomotor activity. Recently, we discovered that the spectral characteristic of human activity -which includes 1/f noise at frequencies greater than the daily periodicity -is universal, as both the raw acceleration of the wrist and the diverse kinds of activity signals (i.e., acceleration data compressed in varied ways) follows the same spectral nature. Here, we demonstrate that this spectral characteristic persists for daily human activity in general by analysing datasets from various sources containing activity or acceleration signals of healthy, free-living subjects.