Activity-based methods for person recognition in motion capture sequences.

•We present two algorithms for person recognition from motion capture data.•The first algorithm is based on a similarity measure between two sequences.•The second algorithm combines dimensionality reduction and a Bag of Words approach.•Correct person recognition rates higher than 98% are achieved.•Human activities other than walking can be used for person recognition.