All Stories

  1. Characterising Topic Familiarity and Query Specificity Using Eye-Tracking Data
  2. Past, Present, and Future of Sensor-based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task
  3. Transfer Learning in Sensor-Based Human Activity Recognition: A Survey
  4. Layout-Agnostic Human Activity Recognition in Smart Homes through Textual Descriptions Of Sensor Triggers (TDOST)
  5. Cross-Domain HAR: Few Shot Transfer Learning for Human Activity Recognition
  6. Game of LLMs: Discovering Structural Constructs in Activities using Large Language Models
  7. Solving the Sensor-Based Activity Recognition Problem (SOAR): Self-Supervised, Multi-Modal Recognition of Activities from Wearable Sensors
  8. More Data for People with Disabilities! Comparing Data Collection Efforts for Wheelchair Transportation Mode Detection
  9. Emotion Recognition on the Go: Utilizing Wearable IMUs for Personalized Emotion Recognition
  10. Sensor event sequence prediction for proactive smart home: A GPT2-based autoregressive language model approach
  11. IMUGPT 2.0: Language-Based Cross Modality Transfer for Sensor-Based Human Activity Recognition
  12. FingerSpeller: Typing with smart rings using the American Sign Language Alphabet
  13. Generating Virtual IMU Data using Generative AI
  14. Challenges in Using Skin Conductance Responses for Assessments of Information Worker Productivity
  15. How Much Unlabeled Data is Really Needed for Effective Self-Supervised Human Activity Recognition?
  16. Measuring the subtlety of activities from videos for the evaluation of synthetic IMU data
  17. Solving the Sensor-based Activity Recognition Problem (SOAR): Self-supervised, Multi-modal Recognition of Activities from Wearable Sensors
  18. ConvBoost
  19. Explainable Activity Recognition for Smart Home Systems
  20. Food, Mood, Context: Examining College Students’ Eating Context and Mental Well-being
  21. Clustering of Human Activities from Wearables by Adopting Nearest Neighbors
  22. Reinforcement Learning Based Online Active Learning for Human Activity Recognition
  23. A Personalized Approach for Developing a Snacking Detection System using Earbuds in a Semi-Naturalistic Setting
  24. On the Effectiveness of Virtual IMU Data for Eating Detection with Wrist Sensors
  25. Assessing the State of Self-Supervised Human Activity Recognition Using Wearables
  26. Bootstrapping Human Activity Recognition Systems for Smart Homes from Scratch
  27. Ubi-SleepNet
  28. On the Role of Context Length for Feature Extraction and Sequence Modeling in Human Activity Recognition
  29. Approaching the Real-World
  30. Applying Machine Learning for Sensor Data Analysis in Interactive Systems
  31. Contrastive Predictive Coding for Human Activity Recognition
  32. Generalized and Efficient Skill Assessment from IMU Data with Applications in Gymnastics and Medical Training
  33. Deriving Effective Human Activity Recognition Systems through Objective Task Complexity Assessment
  34. IMUTube
  35. Masked reconstruction based self-supervision for human activity recognition
  36. Sensing Affect to Empower Students
  37. Multi-target affect detection in the wild
  38. Handling annotation uncertainty in human activity recognition
  39. On the role of features in human activity recognition
  40. Towards Reliable, Automated General Movement Assessment for Perinatal Stroke Screening in Infants Using Wearable Accelerometers
  41. Assessing the Quality of Home Detection from Mobile Phone Data for Official Statistics
  42. On specialized window lengths and detector based human activity recognition
  43. On attention models for human activity recognition
  44. Adding structural characteristics to distribution-based accelerometer representations for activity recognition using wearables
  45. Seesaw
  46. FingerPing
  47. Comparing Regional Patterns of Individual Movement Using Corrected Mobility Entropy
  48. A Unified Model for User Identification on Multi-Touch Surfaces: A Survey and Meta-Analysis
  49. Activity Recognition for Quality Assessment of Batting Shots in Cricket using a Hierarchical Representation
  50. Ensembles of Deep LSTM Learners for Activity Recognition using Wearables
  51. Prototyping Ubiquitous Imaging Surfaces