{"doi":"10.1109/aspdac.2015.7058994","title":"Data sensing and analysis: Challenges for wearables","abstract":null,"journal":"The 20th Asia and South Pacific Design Automation Conference","year":2015,"id":637181,"datarank":0.6814942173405006,"base_score":4.543294782270004,"endowment":4.543294782270004,"self_citation_contribution":0.6814942173405006,"citation_network_contribution":0.0,"self_endowment_contribution":0.6814942173405006,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":93,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":430244,"name":"Qi Liu","orcid":"0000-0002-5684-7396","position":1,"is_corresponding":false},{"id":1654281,"name":"Fenglong Lu","orcid":null,"position":2,"is_corresponding":false},{"id":1654282,"name":"Wyatt Mohrman","orcid":null,"position":3,"is_corresponding":false},{"id":1053705,"name":"Kun Li","orcid":"0000-0002-8582-2913","position":4,"is_corresponding":false},{"id":498241,"name":"Robert Dick","orcid":null,"position":5,"is_corresponding":false},{"id":1485780,"name":"Li Shang","orcid":"0000-0003-3944-7531","position":6,"is_corresponding":false},{"id":1386648,"name":"James Williamson","orcid":"0009-0008-5155-3226","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Data sensing and analysis: Challenges for wearables","abstract":"Wearables are a leading category in the Internet of Things. Compared with mainstream mobile phones, wearables target one order of magnitude form factor reduction, and offer the potential of providing ubiquitous, personalized services to end users. Aggressive reduction in size imposes serious limits on battery capacity. Wearables are equipped with a range of sensors, such as accelerometers and gyroscopes. Most economical sensors were developed for mobile phones, with energy consumptions more appropriate for phones than for ultra-compact wearables. This article describes the energy challenges for wearable sensing technologies, with a primary focus on the most widely used wearable sensors: MEMS-based inertial measurement units. Using sports and fitness wearables as the pilot application, we analyze the energy characteristics of MEMS IMU data sensing, analysis, and wireless communication. We then discuss the technologies needed to solve the power and energy consumptions challenges for wearables.","is_dataset_classified":null,"base_score":4.543294782270004,"endowment":4.543294782270004,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"19767382","pmcid":null,"openalex_id":"https://openalex.org/W2037124552","authors":[],"funders":[],"total_grants":0,"fwci":4.7307,"citation_percentile":0.9714157,"influential_citations":3,"citation_trend":[{"year":2015,"count":4},{"year":2016,"count":9},{"year":2017,"count":10},{"year":2018,"count":12},{"year":2019,"count":12},{"year":2020,"count":12},{"year":2021,"count":11},{"year":2022,"count":7},{"year":2023,"count":6},{"year":2024,"count":2},{"year":2025,"count":8}],"oa_status":"closed","license":null,"oa_locations":[{"url":"http://xplorestaging.ieee.org/ielx7/7050531/7058915/07058994.pdf?arnumber=7058994","host_type":"publisher"},{"url":"https://doi.org/10.1109/aspdac.2015.7058994","host_type":""}],"fields_of_study":["Context-Aware Activity Recognition Systems","Bluetooth and Wireless Communication Technologies","Non-Invasive Vital Sign Monitoring","Computer Science","Engineering","Environmental Science"],"mesh_terms":[],"keywords":["Wearable computer","Accelerometer","Computer science","Smartwatch","Wearable technology","Inertial measurement unit","Gyroscope","Body area network","Wireless","Wireless sensor network","Embedded system","Telecommunications","Engineering","Computer network","Artificial intelligence"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Affordable and clean energy"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-06T18:29:07.667863Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}