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Handwriting movement analysis


Handwriting movement analysis is the study and analysis of the movements involved in handwriting and drawing. It forms an important part of graphonomics, which became established after the "International Workshop on Handwriting Movement Analysis" in 1982 in Nijmegen, The Netherlands. It would become the first of a continuing series of International Graphonomics Conferences. The first graphonomics milestone was Thomassen, Keuss, Van Galen, Grootveld (1983).

Handwriting is historically considered the widest taught motor skill. It is also one of the first, and often the only motor skill that children will learn at elementary school. It takes years of practice and maturing before a person has mastered the adult handwriting skill. Handwriting is not considered only as a movement that leaves a visible trace of ink on paper (product) but it can also be considered as a movement (process). Understanding of the handwriting product will not be complete until the handwriting process is understood. Therefore, handwriting movement has been researched since measurement techniques became available.

However, before recording and processing handwriting movements were within reach for those interested in studying handwriting movements, three components were required: Devices to capture handwriting movements, laboratory computers to store and process the movement data, and computer software which enables the researcher to do this under specific experimental paradigms without the need to program untested custom software. Handwriting movement analysis software is also used for studying drawing, eye–hand coordination, or any other situation where the researcher wishes to record movements using a pen.

Elisha Gray's "Telautograph", US Patent 386,815 (1888), followed by four more similar patents (1891–93). See the "Annotated Bibliography in Pen Computing and Handwriting Recognition" by Jean Renard Ward (http://users.erols.com/rwservices/biblio.html). Handwriting could only be transmitted by wire and reproduced elsewhere in real-time. Scripture (1895) developed a writing apparatus that enabled storage of pen positions on paper at 100 Hz. This apparatus permitted measurement of durations of individual handwriting strokes (McAllister, 1900).

Handwriting movements are fast, non-repetitive with a primary frequency around 5 Hz and a bandwidth of about 10 Hz. While sampling rates of 20 Hz would theoretically suffice, up-sampling will be needed to properly visualize the Lissajous-like handwriting and drawing strokes. Higher-than-necessary sampling rates such as 100 Hz are preferred as this would also allow low-pass filtering or smoothed data with reduced equipment and quantization noise by factor √(100/20) = √5. A laboratory computer will be needed to store, process, and visualize massive amounts of samples. It took more than 50 years for computers to be available in laboratories. Electronic analog computers were used until digital computers came within reach for research: Wang Laboratories, Digital Equipment Corporation (DEC), Apple Inc., IBM PC (Personal Computer), Norsk Data, Atari, Osborne Computer Corporation, and Data General. Sadly, most of these innovative mini and microcomputer companies have discontinued their operation.


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