Are Accelerometers for Activity Recognition a Dead-end?

by   Catherine Tong, et al.

Accelerometer-based (and by extension other inertial sensors) research for Human Activity Recognition (HAR) is a dead-end. This sensor does not offer enough information for us to progress in the core domain of HAR—to recognize everyday activities from sensor data. Despite continued and prolonged efforts in improving feature engineering and machine learning models, the activities that we can recognize reliably have only expanded slightly and many of the same flaws of early models are still present today. Instead of relying on acceleration data, we should instead consider modalities with much richer information—a logical choice are images. With the rapid advance in image sensing hardware and modelling techniques, we believe that a widespread adoption of image sensors will open many opportunities for accurate and robust inference across a wide spectrum of human activities. In this paper, we make the case for imagers in place of accelerometers as the default sensor for human activity recognition. Our review of past works has led to the observation that progress in HAR had stalled, caused by our reliance on accelerometers. We further argue for the suitability of images for activity recognition by illustrating their richness of information and the marked progress in computer vision. Through a feasibility analysis, we find that deploying imagers and CNNs on device poses no substantial burden on modern mobile hardware. Overall, our work highlights the need to move away from accelerometers and calls for further exploration of using imagers for activity recognition.


page 4

page 5


Transfer Learning for Activity Recognition in Mobile Health

While activity recognition from inertial sensors holds potential for mob...

Classifying Human Activities with Inertial Sensors: A Machine Learning Approach

Human Activity Recognition (HAR) is an ongoing research topic. It has ap...

Human activity recognition from mobile inertial sensors using recurrence plots

Inertial sensors are present in most mobile devices nowadays and such de...

Description of Structural Biases and Associated Data in Sensor-Rich Environments

In this article, we study activity recognition in the context of sensor-...

Comparative Analysis of Probabilistic Models for Activity Recognition with an Instrumented Walker

Rollating walkers are popular mobility aids used by older adults to impr...

Dataiku's Solution to SPHERE's Activity Recognition Challenge

Our team won the second prize of the Safe Aging with SPHERE Challenge or...

Please sign up or login with your details

Forgot password? Click here to reset