{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:43:43Z","timestamp":1763192623739,"version":"3.45.0"},"reference-count":33,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,30]]},"DOI":"10.1109\/ijcnn64981.2025.11229387","type":"proceedings-article","created":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T18:46:15Z","timestamp":1763145975000},"page":"1-7","source":"Crossref","is-referenced-by-count":0,"title":["TinyHAR-NAS: Tuning Lightweight Attention Networks for Human Activity Recognition on the Edge"],"prefix":"10.1109","author":[{"given":"Urmi","family":"Jana","sequence":"first","affiliation":[{"name":"Tata Consultancy Services Research,India"}]},{"given":"Shalini","family":"Mukhopadhyay","sequence":"additional","affiliation":[{"name":"Tata Consultancy Services Research,India"}]},{"given":"Swarnava","family":"Dey","sequence":"additional","affiliation":[{"name":"Tata Consultancy Services Research,India"}]},{"given":"Arijit","family":"Mukherjee","sequence":"additional","affiliation":[{"name":"Tata Consultancy Services Research,India"}]},{"given":"Arpan","family":"Pal","sequence":"additional","affiliation":[{"name":"Tata Consultancy Services Research,India"}]}],"member":"263","reference":[{"article-title":"Human activity recognition: From wearable sensors to artificial intelligence and beyond","year":"2020","author":"Demrozi","key":"ref1"},{"article-title":"Human activity recognition and its role in rehabilitation: A survey","year":"2021","author":"Liu","key":"ref2"},{"article-title":"Advances in human activity recognition using wearable sensors for sports performance analysis","year":"2021","author":"Zhang","key":"ref3"},{"article-title":"A survey on human activity recognition using wearable sensors for security and surveillance","year":"2019","author":"Hussain","key":"ref4"},{"issue":"17","key":"ref5","first-page":"6463","article-title":"A comprehensive survey on sensor-based and vision-based har for workplace safety","volume":"22","author":"Dang","year":"2022","journal-title":"Sensors"},{"article-title":"Mcunet: Tiny deep learning on iot devices","volume-title":"Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual","author":"Lin","key":"ref6"},{"key":"ref7","article-title":"Micronets: Neural network architectures for deploying tinyml applications on commodity microcontrollers","volume-title":"CoRR","author":"Banbury","year":"2020"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3437984.3458836"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/PerComWorkshops59983.2024.10503237"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3643832.3661837"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3597061.3597259"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/PerComWorkshops56833.2023.10150311"},{"article-title":"Tinytnas: Gpu-free, time-bound, hardware-aware neural architecture search for tinyml time series classification","year":"2024","author":"Saha","key":"ref13"},{"key":"ref14","article-title":"Human Activity Recognition Using Smartphones","volume-title":"UCI Machine Learning Repository","author":"Reyes-Ortiz","year":"2013"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-019-00619-1"},{"key":"ref17","article-title":"Attention is all you need","volume-title":"Advances in Neural Information Processing Systems","volume":"30","author":"Vaswani"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/PerComWorkshops59983.2024.10502748"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_3"},{"article-title":"Multi-scale convolutional neural networks for time series classification","year":"2016","author":"Cui","key":"ref20"},{"article-title":"Uniformer: Unified transformer for efficient spatiotemporal representation learning","year":"2022","author":"Li","key":"ref21"},{"article-title":"Tslanet: rethinking transformers for time series representation learning","volume-title":"Proceedings of the 41st International Conference on Machine Learning","author":"Eldele","key":"ref22"},{"article-title":"Tinyspeech: Attention condensers for deep speech recognition neural networks on edge devices","year":"2020","author":"Wong","key":"ref23"},{"article-title":"Etsformer: Exponential smoothing transformers for time-series forecasting","year":"2022","author":"Woo","key":"ref24"},{"key":"ref25","doi-asserted-by":"crossref","DOI":"10.24963\/ijcai.2023\/759","article-title":"Transformers in time series: A survey","author":"Wen","year":"2023"},{"key":"ref26","first-page":"421","article-title":"Self-attention for raw optical satellite time series classification","volume-title":"ISPRS Journal of Photogrammetry and Remote Sensing","volume":"169","author":"Ru\u00dfwurm","year":"2020"},{"article-title":"Attendnets: tiny deep image recognition neural networks for the edge via visual attention condensers","year":"2020","author":"Wong","key":"ref27"},{"key":"ref28","doi-asserted-by":"crossref","DOI":"10.1109\/CRV55824.2022.00036","article-title":"Celldefectnet: A machine-designed attention condenser network for electroluminescence-based photovoltaic cell defect inspection","author":"Xu","year":"2022"},{"article-title":"Neural architecture search with reinforcement learning","year":"2016","author":"Zoph","key":"ref29"},{"key":"ref30","first-page":"11711","article-title":"Mcunet: Tiny deep learning on iot devices","volume-title":"Advances in Neural Information Processing Systems","volume":"33","author":"Lin"},{"article-title":"Micronas: Memory and latency constrained hardware-aware neural architecture search for time series classification on microcontrollers","year":"2024","author":"King","key":"ref31"},{"article-title":"Neural architecture search: Insights from 1000 papers","year":"2023","author":"White","key":"ref32"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3554980"}],"event":{"name":"2025 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2025,6,30]]},"location":"Rome, Italy","end":{"date-parts":[[2025,7,5]]}},"container-title":["2025 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11227166\/11227148\/11229387.pdf?arnumber=11229387","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:40:49Z","timestamp":1763192449000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11229387\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/ijcnn64981.2025.11229387","relation":{},"subject":[],"published":{"date-parts":[[2025,6,30]]}}}