1. A method for improved identification of actual respiration events by reducing misidentified respiration events, comprising: detecting potential respiration activity using a body sensor; determining whether the detected potential respiration activity represents an actual respiration event by: (a) generating a signal expressing the detected respiration activity, the signal being structured as a waveform comprising samples representing respiration energy at different times, wherein adjacent samples are combinable into respiration segments of different durations and adjacent respiration segments are combinable into respiration events of different durations, the respiration events including inspiration events and expiration events; (b) storing the signal in a processing buffer; (c) processing the signal stored in the processing buffer using a microprocessor executing software instructions including: (d) identifying first respiration segments in the signal, wherein each of the first respiration segments includes a multiple of adjacent samples selected or discarded based on a peak of the segment signal being above or below a dynamic threshold; (e) selectively merging adjacent ones of the first respiration segments into a first respiration event through application of predetermined segment merger rules; and (f) selectively identifying ones of the first respiration segments as tail segments of the first respiration event through application of predetermined tail identification rules; and based on the determining steps (a)-(f), identifying a respiration event as an actual respiration event; converting the actual respiration event signal into respiration data; and outputting respiration data computed using the first respiration event using a data output interface.