All Stories

  1. Editors' Introduction to the Issue, June 2026
  2. Foundation Models Defining A New Era In Sensor-based Human Activity Recognition: A Survey And Outlook
  3. Editors' Introduction to the Issue, March 2026
  4. Generative AI and Foundation Models for Human Sensing (GenAI4HS)
  5. VISAR: Visualization and Interpretation of Sensor-based Activity Recognition for Smart Homes
  6. Thou Shalt Not Prompt: Zero-Shot Human Activity Recognition in Smart Homes via Language Modeling of Sensor Data & Activities
  7. Characterising Topic Familiarity and Query Specificity Using Eye-Tracking Data
  8. Past, Present, and Future of Sensor-based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task
  9. Transfer Learning in Sensor-Based Human Activity Recognition: A Survey
  10. Layout-Agnostic Human Activity Recognition in Smart Homes through Textual Descriptions Of Sensor Triggers (TDOST)
  11. Cross-Domain HAR: Few Shot Transfer Learning for Human Activity Recognition
  12. Game of LLMs: Discovering Structural Constructs in Activities using Large Language Models
  13. Solving the Sensor-Based Activity Recognition Problem (SOAR): Self-Supervised, Multi-Modal Recognition of Activities from Wearable Sensors
  14. More Data for People with Disabilities! Comparing Data Collection Efforts for Wheelchair Transportation Mode Detection
  15. Emotion Recognition on the Go: Utilizing Wearable IMUs for Personalized Emotion Recognition
  16. Sensor event sequence prediction for proactive smart home: A GPT2-based autoregressive language model approach
  17. IMUGPT 2.0: Language-Based Cross Modality Transfer for Sensor-Based Human Activity Recognition
  18. FingerSpeller: Typing with smart rings using the American Sign Language Alphabet
  19. Generating Virtual IMU Data using Generative AI
  20. Challenges in Using Skin Conductance Responses for Assessments of Information Worker Productivity
  21. How Much Unlabeled Data is Really Needed for Effective Self-Supervised Human Activity Recognition?
  22. Measuring the subtlety of activities from videos for the evaluation of synthetic IMU data
  23. Solving the Sensor-based Activity Recognition Problem (SOAR): Self-supervised, Multi-modal Recognition of Activities from Wearable Sensors
  24. ConvBoost
  25. Explainable Activity Recognition for Smart Home Systems
  26. Food, Mood, Context: Examining College Students’ Eating Context and Mental Well-being
  27. Clustering of Human Activities from Wearables by Adopting Nearest Neighbors
  28. Reinforcement Learning Based Online Active Learning for Human Activity Recognition
  29. A Personalized Approach for Developing a Snacking Detection System using Earbuds in a Semi-Naturalistic Setting
  30. On the Effectiveness of Virtual IMU Data for Eating Detection with Wrist Sensors
  31. Assessing the State of Self-Supervised Human Activity Recognition Using Wearables
  32. Bootstrapping Human Activity Recognition Systems for Smart Homes from Scratch
  33. Ubi-SleepNet
  34. On the Role of Context Length for Feature Extraction and Sequence Modeling in Human Activity Recognition
  35. Approaching the Real-World
  36. Applying Machine Learning for Sensor Data Analysis in Interactive Systems
  37. Contrastive Predictive Coding for Human Activity Recognition
  38. Generalized and Efficient Skill Assessment from IMU Data with Applications in Gymnastics and Medical Training
  39. Deriving Effective Human Activity Recognition Systems through Objective Task Complexity Assessment
  40. IMUTube
  41. Masked reconstruction based self-supervision for human activity recognition
  42. Sensing Affect to Empower Students
  43. Multi-target affect detection in the wild
  44. Handling annotation uncertainty in human activity recognition
  45. On the role of features in human activity recognition
  46. Towards Reliable, Automated General Movement Assessment for Perinatal Stroke Screening in Infants Using Wearable Accelerometers
  47. Assessing the Quality of Home Detection from Mobile Phone Data for Official Statistics
  48. On specialized window lengths and detector based human activity recognition
  49. On attention models for human activity recognition
  50. Adding structural characteristics to distribution-based accelerometer representations for activity recognition using wearables
  51. Seesaw
  52. FingerPing
  53. Comparing Regional Patterns of Individual Movement Using Corrected Mobility Entropy
  54. A Unified Model for User Identification on Multi-Touch Surfaces: A Survey and Meta-Analysis
  55. Activity Recognition for Quality Assessment of Batting Shots in Cricket using a Hierarchical Representation
  56. Ensembles of Deep LSTM Learners for Activity Recognition using Wearables
  57. Prototyping Ubiquitous Imaging Surfaces