{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T07:50:42Z","timestamp":1743148242255,"version":"3.40.3"},"publisher-location":"Cham","reference-count":12,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031840999"},{"type":"electronic","value":"9783031841002"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-84100-2_23","type":"book-chapter","created":{"date-parts":[[2025,3,7]],"date-time":"2025-03-07T23:59:24Z","timestamp":1741391964000},"page":"191-197","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Hardware-Aware Depth Image Classification Model for\u00a0In-Sensor AI Integration"],"prefix":"10.1007","author":[{"given":"Andrea","family":"Fasolino","sequence":"first","affiliation":[]},{"given":"Gian Domenico","family":"Licciardo","sequence":"additional","affiliation":[]},{"given":"Paola","family":"Vitolo","sequence":"additional","affiliation":[]},{"given":"Rosalba","family":"Liguori","sequence":"additional","affiliation":[]},{"given":"Luigi","family":"Di Benedetto","sequence":"additional","affiliation":[]},{"given":"Alfredo","family":"Rubino","sequence":"additional","affiliation":[]},{"given":"Danilo","family":"Pau","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,3,8]]},"reference":[{"key":"23_CR1","unstructured":"Simone Salerno. 8x8 ToF Gesture Classification - Arduino RP2040 Connect. Accessed 04 Jan 2024, https:\/\/docs.edgeimpulse.com\/experts\/novel-sensor-projects\/tof-gesture-classification-arduino-rp2040-connect"},{"key":"23_CR2","doi-asserted-by":"publisher","unstructured":"Jan, P., et al.: Miniature mobile robot detection using an ultralow- resolution time-of-flight sensor. IEEE Trans. Instrum. Measure. 72, 1\u20139 (2023). https:\/\/doi.org\/10.1109\/TIM.2023.3318710","DOI":"10.1109\/TIM.2023.3318710"},{"key":"23_CR3","doi-asserted-by":"publisher","unstructured":"Zhou, W., et al.: PGDENet: progressive guided fusion and depth enhancement network for RGB-D indoor scene parsing. IEEE Trans. Multimedia 25, 3483\u20133494 (2023). https:\/\/doi.org\/10.1109\/TMM.2022.3161852","DOI":"10.1109\/TMM.2022.3161852"},{"key":"23_CR4","doi-asserted-by":"publisher","unstructured":"Zhang, M., et al.: C2DFNet: criss-cross dynamic filter network for RGB-D salient object detection. IEEE Trans. Multimedia 25, 5142\u20135154 (2023). https:\/\/doi.org\/10.1109\/TMM.2022.3187856","DOI":"10.1109\/TMM.2022.3187856"},{"key":"23_CR5","doi-asserted-by":"publisher","unstructured":"Oppliger, M., et al.: Sensor fusion of 3D time-of-flight and thermal infrared camera for presence detection of living beings. In: 2022 IEEE Sensors, pp. 1\u20134 (2022). https:\/\/doi.org\/10.1109\/SENSORS52175.2022.9967309","DOI":"10.1109\/SENSORS52175.2022.9967309"},{"key":"23_CR6","doi-asserted-by":"publisher","unstructured":"Zeng, Z., et al.: AirSOD: a lightweight network for RGB-D salient object detection. In: IEEE Transactions on Circuits and Systems for Video Technology, p. 1 (2023). https:\/\/doi.org\/10.1109\/TCSVT.2023.3295588","DOI":"10.1109\/TCSVT.2023.3295588"},{"key":"23_CR7","doi-asserted-by":"publisher","unstructured":"Singh, R.U., Conde, M.H.: Robust Timeof- flight-based material imaging using three-dimensional deep neural networks on spatial neighborhoods of pixels. In: 2022 IEEE Sensors, pp. 1\u20134 (2022). https:\/\/doi.org\/10.1109\/SENSORS52175.2022.9967293.","DOI":"10.1109\/SENSORS52175.2022.9967293"},{"key":"23_CR8","doi-asserted-by":"crossref","unstructured":"Kim, D., Choi, Y.: Applications of smart glasses in applied sciences: a systematic review. Appl. Sci. 11 11 (2021). issn: 2076\u20133417. https:\/\/www.mdpi.com\/2076-3417\/11\/11\/4956","DOI":"10.3390\/app11114956"},{"key":"23_CR9","doi-asserted-by":"publisher","unstructured":"Mora-Mart\u00edn, G., et al.: High-speed object detection with a singlephoton time-of-flight image sensor. Opt. Express 29(21), 33184\u201333196 (2021), https:\/\/doi.org\/10.1364\/OE.435619, https:\/\/opg.optica.org\/oe\/abstract.cfm?URI=oe-29-21-33184","DOI":"10.1364\/OE.435619"},{"key":"23_CR10","unstructured":"ST Microelectronics. VL53L8CX. Accessed 29 Jan 2024. https:\/\/www.st.com\/en\/imaging-and-photonics-solutions\/vl53l8cx.html"},{"key":"23_CR11","doi-asserted-by":"publisher","unstructured":"Lai, K., et al.: A large-scale hierarchical multi-view RGB-D object dataset. In: 2011 IEEE International Conference on Robotics and Automation, pp. 1817\u20131824 (2011). https:\/\/doi.org\/10.1109\/ICRA.2011.5980382","DOI":"10.1109\/ICRA.2011.5980382"},{"key":"23_CR12","doi-asserted-by":"crossref","unstructured":"Shalan, M., Edwards, T.: Building OpenLANE: A 130 nm OpenROAD-based Tapeout- proven flow : invited paper. In: 2020 IEEE\/ACM International Conference On Computer Aided Design (ICCAD), pp. 1\u20136 (2020)","DOI":"10.1145\/3400302.3415735"}],"container-title":["Lecture Notes in Electrical Engineering","Applications in Electronics Pervading Industry, Environment and Society"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-84100-2_23","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,7]],"date-time":"2025-03-07T23:59:32Z","timestamp":1741391972000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-84100-2_23"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031840999","9783031841002"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-84100-2_23","relation":{},"ISSN":["1876-1100","1876-1119"],"issn-type":[{"type":"print","value":"1876-1100"},{"type":"electronic","value":"1876-1119"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"8 March 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ApplePies","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Applications in Electronics Pervading Industry, Environment and Society","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Turin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 September 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"applepies2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}