Data mining on smartphones: An introduction and survey

D Yates, MZ Islam - ACM computing surveys, 2022 - dl.acm.org
Data mining is the science of extracting information or “knowledge” from data. It is a task
commonly executed on cloud computing resources, personal computers and laptops …

[HTML][HTML] Detecting glass and metal in consumer trash bags during waste collection using convolutional neural networks

OI Funch, R Marhaug, S Kohtala, M Steinert - Waste management, 2021 - Elsevier
We present a proof-of-concept method to classify the presence of glass and metal in
consumer trash bags. With the prevalent utilization of waste collection trucks in municipal …

ViObject: harness passive vibrations for daily object recognition with commodity smartwatches

W Chen, S Lin, Z Peng, FS Parizi, S Heo… - Proceedings of the …, 2024 - dl.acm.org
Knowing the object grabbed by a hand can offer essential contextual information for
interaction between the human and the physical world. This paper presents a novel system …

MyDJ: Sensing food intakes with an attachable on your eyeglass frame

J Shin, S Lee, T Gong, H Yoon, H Roh… - Proceedings of the …, 2022 - dl.acm.org
Various automated eating detection wearables have been proposed to monitor food intakes.
While these systems overcome the forgetfulness of manual user journaling, they typically …

Differentiable neural network pruning to enable smart applications on microcontrollers

E Liberis, ND Lane - Proceedings of the ACM on Interactive, Mobile …, 2023 - dl.acm.org
Wearable, embedded, and IoT devices are a centrepiece of many ubiquitous computing
applications, such as fitness tracking, health monitoring, home security and voice assistants …

Using gesture and speech communication modalities for safe human-drone interaction in construction

Z Zhu, JY Cheng, I Jeelani, M Gheisari - Advanced Engineering Informatics, 2024 - Elsevier
Drones are increasingly being used in the construction industry for numerous applications.
However, their presence poses safety risks to construction workers who work around them …

TextureSight: Texture Detection for Routine Activity Awareness with Wearable Laser Speckle Imaging

X Wang, Y Zhang - Proceedings of the ACM on Interactive, Mobile …, 2024 - dl.acm.org
Objects engaged by users' hands contain rich contextual information for their strong
correlation with user activities. Tools such as toothbrushes and wipes indicate cleansing and …

SonoHaptics: An Audio-Haptic Cursor for Gaze-Based Object Selection in XR

H Cho, N Sendhilnathan, M Nebeling, T Wang… - Proceedings of the 37th …, 2024 - dl.acm.org
We introduce SonoHaptics, an audio-haptic cursor for gaze-based 3D object selection.
SonoHaptics addresses challenges around providing accurate visual feedback during gaze …

Potential and Challenges of DIY Smart Homes with an ML-intensive Camera Sensor

S Yun, YK Lim - Proceedings of the 2023 CHI Conference on Human …, 2023 - dl.acm.org
Sensors and actuators are crucial components of a do-it-yourself (DIY) smart home system
that enables users to construct smart home features successfully. In addition, machine …

RISE: Robust wireless sensing using probabilistic and statistical assessments

S Zhai, Z Tang, P Nurmi, D Fang, X Chen… - Proceedings of the 27th …, 2021 - dl.acm.org
Wireless sensing builds upon machine learning shows encouraging results. However,
adopting wireless sensing as a large-scale solution remains challenging as experiences …