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Deep learning for sensor-based human activity recognition: Overview, challenges, and opportunities
The vast proliferation of sensor devices and Internet of Things enables the applications of
sensor-based activity recognition. However, there exist substantial challenges that could …
sensor-based activity recognition. However, there exist substantial challenges that could …
Smart devices are different: Assessing and mitigatingmobile sensing heterogeneities for activity recognition
The widespread presence of motion sensors on users' personal mobile devices has
spawned a growing research interest in human activity recognition (HAR). However, when …
spawned a growing research interest in human activity recognition (HAR). However, when …
A survey of techniques for automatically sensing the behavior of a crowd
Crowd-centric research is receiving increasingly more attention as datasets on crowd
behavior are becoming readily available. We have come to a point where many of the …
behavior are becoming readily available. We have come to a point where many of the …
Complex daily activities, country-level diversity, and smartphone sensing: A study in denmark, italy, mongolia, paraguay, and uk
Smartphones enable understanding human behavior with activity recognition to support
people's daily lives. Prior studies focused on using inertial sensors to detect simple activities …
people's daily lives. Prior studies focused on using inertial sensors to detect simple activities …
Woods: Benchmarks for out-of-distribution generalization in time series
JC Gagnon-Audet, K Ahuja, MJ Darvishi-Bayazi… - ar** people practice mindfulness have
appeared in the literature. However, the few available user studies for such approaches …
appeared in the literature. However, the few available user studies for such approaches …
SensiX++: Bringing mlops and multi-tenant model serving to sensory edge devices
We present SensiX++, a multi-tenant runtime for adaptive model execution with integrated
MLOps on edge devices, eg, a camera, a microphone, or IoT sensors. SensiX++ operates on …
MLOps on edge devices, eg, a camera, a microphone, or IoT sensors. SensiX++ operates on …
Dos and don'ts in mobile phone sensing middleware: Learning from a large-scale experiment
V Issarny, V Mallet, K Nguyen, PG Raverdy… - Proceedings of the 17th …, 2016 - dl.acm.org
Mobile phone sensing contributes to changing the way we approach science: massive
amount of data is being contributed across places and time, and paves the way for …
amount of data is being contributed across places and time, and paves the way for …