Mobile and wearable devices have enabled numerous applications, including activity
tracking, wellness monitoring, and human–computer interaction, that measure and improve …

Smartphones are now nearly ubiquitous; their numerous built-in sensors enable continuous
measurement of activities of daily living, making them especially well-suited for health …

Edge intelligence (EI) is becoming one of the research hotspots among researchers, which
is believed to help empower intelligent transportation systems (ITS). ITS generates a large …

Transportation and locomotion mode recognition from multimodal smartphone sensors is
useful for providing just-in-time context-aware assistance. However, the field is currently …

Recent advances in sensor based human activity recognition (HAR) have exploited deep
hybrid networks to improve the performance. These hybrid models combine Convolutional …

Abstract The Sussex-Huawei Locomotion-Transportation Recognition Challenge presented
a unique opportunity to the activity-recognition community to test their approaches on a …

The standard supervised learning paradigm works effectively when training data shares the
same distribution as the upcoming testing samples. However, this stationary assumption is …

The 'sharing'business models and on-demand services have been altering city dwellers'
travel habits from buying the means of transport to buying mobility services based on needs …

Transportation activity recognition (TAR) provides valuable support for intelligent
transportation applications, such as urban transportation planning, driving behavior …

In this paper we summarize the contributions of participants to the third Sussex-Huawei
Locomotion-Transportation (SHL) Recognition Challenge organized at the HASCA …