All Stories

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