Smart­phones may soon re­duce your com­mut­ing stress.

Gulf Times Community - - FRONT PAGE -

Your smart­phone apps may soon help you by de­tect­ing what mode of trans­port you use to travel and au­to­mat­i­cally of­fer rel­e­vant ad­vice, a new study sug­gests. Ac­cord­ing to the re­searchers, the Ma­chine Learn­ing (ML) tech­niques de­vel­oped in a global re­search com­pe­ti­tion could also lead to smart­phones be­ing able to pre­dict up­com­ing road con­di­tions and traf­fic lev­els, of­fer route or park­ing rec­om­men­da­tions and even de­tect the food and drink con­sumed by a smart­phone user while on the move.

“This dataset is truly unique in its scale, the rich­ness of the sen­sor data it com­prises and the qual­ity of its an­no­ta­tions,” said Daniel Roggen, Pro­fes­sor at the Univer­sity of Sus­sex in the UK.

For the study, pub­lished in The Jour­nal of the ACM, the team col­lected the equiv­a­lent of more than 117 days worth of data mon­i­tor­ing as­pects of com­muters’ jour­neys in the UK, us­ing a va­ri­ety of trans­port meth­ods to cre­ate the largest pub­licly avail­able dataset of its kind.

The project gath­ered data from four mo­bile phones car­ried by re­searchers as they went about their daily com­mute over seven months.

The team launched a global com­pe­ti­tion chal­leng­ing teams to de­velop the most ac­cu­rate al­go­rithms to recog­nise eight modes of trans­port (sit­ting still, walk­ing, run­ning, cy­cling or tak­ing the bus, car, train or sub­way) from the data col­lected from 15 sen­sors mea­sur­ing ev­ery­thing from move­ment to am­bi­ent pres­sure.

The project saw 17 teams take part with two en­tries achiev­ing re­sults with more than 90 per cent ac­cu­racy, eight with be­tween 80 and 90 per cent, and nine be­tween 50 and 80 per cent.

The win­ning team achieved the high­est score of 93.9 per cent through the use of a com­bi­na­tion of deep and clas­si­cal ML mod­els.

In gen­eral, deep learn­ing tech­niques tended to out­per­form tra­di­tional ML ap­proaches, although not to any sig­nif­i­cant de­gree. – IANS

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