]> 2026-04-04T18:18:20+02:00 HMC2 0 en Nicholas Wickström The objective is to design wearable instruments/devices that can characterize and classify human motion. The devices shall be small and “non-intrusive”, similar to a step counter. We are looking at two sensor modalities: inertial sensors (e.g. accelerometers and gyros) and electrical sensors for detecting, e.g., electromyography (EMG) signals. false Hmc2 v3.png ppq_detail.pdf 2015-12-31Z 2457387.5 nicholas.wickstrom@hh.se 2012-01-01Z 2455927.5 Quality assessment of bicycle training Identification of Gait Events using Expert Knowledge and Continuous Wavelet Transform Analysis Human Motion, Categorization and Characterization HMC2 2014-05-19T14:21:11Z 2456797.098044 HMC2 0 1 list 2 [[Title::HMC2]] HMC2# QUERYb79ec64d2ebde086192d7e4cebbcd2f8 0 1 ul 4 [[Category:Person]] [[Project::HMC2]] [[Category:Staff]] HMC2# QUERY1965b8f176c2e4b20ffbfaa03538213f 0 1 ul 4 [[Category:Person]] [[Project::HMC2]] [[Affiliation::+]] HMC2# QUERY56e2b40497bd0f3e93e38176807cf1d1 0 0 plainlist 1 [[:HMC2]] HMC2# QUERY02433a13bf30d8e42b501e5f1934ebbf 0 1 template 2 [[Title::Quality assessment of bicycle training]] HMC2# QUERYfec91aa368d4f626af363536c0a7daef 0 1 template 2 [[Title::Identification of Gait Events using Expert Knowledge and Continuous Wavelet Transform Analysis]] HMC2# QUERYa7c6b2616f025a37e4f6717caca60fc4 Eric Järpe 0 en Eric Järpe Nicholas Wickström 0 en Nicholas Wickström Taha Khan 0 en Taha Khan Publications:Detecting Gait Events from Outdoor Accelerometer Data for Long-term and Continuous Monitoring Applications 500 en Detecting Gait Events from Outdoor Accelerometer Data for Long-term and Continuous Monitoring Applications Hmc2 0 en Hmc2 Project 102 en Project Projects 102 en Projects REDI 102 en REDI